Temat: "Computer" - OpacWWW

Skocz do pozycji: 1 1.

Tytuł :: Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.
Autorzy :: Pan P; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
Chen H; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China. Electronic address: .
Li Y; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
Cai N; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
Cheng L; Center for Breast, People's Hospital of Peking University, Beijing, China.
Wang S; Center for Breast, People's Hospital of Peking University, Beijing, China. Electronic address: .; Pokaż więcej
Źródło :: Ultrasonics [Ultrasonics] 2021 Feb; Vol. 110, pp. 106271. Date of Electronic Publication: 2020 Oct 22.
Typ publikacji :: Journal Article
MeSH Terms :: Neural Networks, Computer*
Breast Neoplasms/*diagnostic imaging
Image Interpretation, Computer-Assisted/*methods
Pattern Recognition, Automated/*methods
Ultrasonography, Mammary/*methods
Algorithms ; Diagnosis, Computer-Assisted ; Female ; Humans
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 2 2.

Tytuł :: Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.
Autorzy :: Alsinan AZ; Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA. .
Patel VM; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Hacihaliloglu I; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.; Department of Radiology, Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.; Pokaż więcej
Źródło :: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2020 Sep; Vol. 15 (9), pp. 1477-1485. Date of Electronic Publication: 2020 Jul 11.
Typ publikacji :: Journal Article
MeSH Terms :: Fluoroscopy*
Neural Networks, Computer*
Ultrasonography*
Bone Diseases/*diagnostic imaging
Bone and Bones/*diagnostic imaging
Diagnosis, Computer-Assisted/*methods
Imaging, Three-Dimensional/*methods
Acoustics ; Algorithms ; Artifacts ; Computer Simulation ; Humans ; Image Processing, Computer-Assisted ; Orthopedic Procedures ; Orthopedics ; Reproducibility of Results
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 3 3.

Tytuł :: [Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?]
Autorzy :: Brinker TJ; Nachwuchsgruppe Digitale Biomarker für die Onkologie (DBO), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland. .
Schlager G; Abteilung für Dermatologie und Allergologie, Universitätsklinikum, LMU München, München, Deutschland.
French LE; Abteilung für Dermatologie und Allergologie, Universitätsklinikum, LMU München, München, Deutschland.
Jutzi T; Nachwuchsgruppe Digitale Biomarker für die Onkologie (DBO), Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Deutschland.
Kittler H; Abteilung für Dermatologie, Medizinische Universität Wien, Wien, Österreich.; Pokaż więcej
Transliterated Title :: Computerassistierte Hautkrebsdiagnose : Wann kommt künstliche Intelligenz in der Praxis an?
Źródło :: Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete [Hautarzt] 2020 Sep; Vol. 71 (9), pp. 669-676.
Typ publikacji :: Journal Article; Review
MeSH Terms :: Artificial Intelligence*
Neural Networks, Computer*
Diagnosis, Computer-Assisted/*methods
Mass Screening/*methods
Melanoma/*diagnosis
Skin Neoplasms/*diagnosis
Algorithms ; Dermoscopy ; Humans ; Image Processing, Computer-Assisted/methods
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 4 4.

Tytuł :: SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
Autorzy :: Bargsten L; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany. .
Schlaefer A; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.; Pokaż więcej
Źródło :: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2020 Sep; Vol. 15 (9), pp. 1427-1436. Date of Electronic Publication: 2020 Jun 18.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Neural Networks, Computer*
Ultrasonography*
Image Processing, Computer-Assisted/*methods
Algorithms ; Computer Simulation ; Databases, Factual ; Diagnosis, Computer-Assisted/methods ; Humans ; Normal Distribution ; Software
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 5 5.

Tytuł :: Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Autorzy :: Xie B; South China University of Technology, Guangzhou, China.
Lei T; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road 58, Guangzhou, 510080, Guangdong, China.
Wang N; Guangzhou Aiyunji Information Technology Co., Ltd., Guangzhou, China.
Cai H; South China University of Technology, Guangzhou, China.
Xian J; South China University of Technology, Guangzhou, China.; Guangzhou Aiyunji Information Technology Co., Ltd., Guangzhou, China.
He M; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road 58, Guangzhou, 510080, Guangdong, China.
Zhang L; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road 58, Guangzhou, 510080, Guangdong, China.
Xie H; Department of Ultrasonic Medicine, Fetal Medical Center, First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road 58, Guangzhou, 510080, Guangdong, China. .; Pokaż więcej
Źródło :: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2020 Aug; Vol. 15 (8), pp. 1303-1312. Date of Electronic Publication: 2020 Jun 02.
Typ publikacji :: Journal Article
MeSH Terms :: Neural Networks, Computer*
Brain/*diagnostic imaging
Brain Diseases/*diagnostic imaging
Diagnosis, Computer-Assisted/*methods
Algorithms ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Pregnancy ; Ultrasonography, Prenatal/methods
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 6 6.

Tytuł :: Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions.
Autorzy :: Zhang J; School of Electrical Engineering and Automation, Anhui University, Hefei, People's Republic of China. These authors have contributed equally to this work.
Liu S
Yan H
Li T
Mao R
Liu J; Pokaż więcej
Źródło :: Physics in medicine and biology [Phys Med Biol] 2020 Oct 21; Vol. 65 (20), pp. 205013. Date of Electronic Publication: 2020 Oct 21.
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Neural Networks, Computer*
Esophageal Neoplasms/*radiotherapy
Radiotherapy Planning, Computer-Assisted/*methods
Radiotherapy, Intensity-Modulated/*methods
Esophageal Neoplasms/diagnostic imaging ; Esophageal Neoplasms/pathology ; Humans ; Image Processing, Computer-Assisted/methods ; Organs at Risk/radiation effects ; Radiotherapy Dosage ; Tomography, X-Ray Computed/methods
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 7 7.

Tytuł :: Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.
Autorzy :: Jin K; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Pan X; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
You K; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China.
Wu J; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China.
Liu Z; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Cao J; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Lou L; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Xu Y; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Su Z; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Yao K; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
Ye J; Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China. .; Pokaż więcej
Źródło :: Scientific reports [Sci Rep] 2020 Sep 15; Vol. 10 (1), pp. 15138. Date of Electronic Publication: 2020 Sep 15.
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Decision Making*
Deep Learning*
Neural Networks, Computer*
Diabetic Retinopathy/*diagnosis
Diagnosis, Computer-Assisted/*methods
Fluorescein Angiography/*methods
Macular Edema/*diagnosis
Adult ; Aged ; Aged, 80 and over ; Algorithms ; Female ; Follow-Up Studies ; Fundus Oculi ; Humans ; Image Interpretation, Computer-Assisted ; Male ; Middle Aged ; Prognosis
: Czasopismo naukowe

Szczegóły Pełny tekst Pełny tekst

Skocz do pozycji: 8 8.

Tytuł :: Fast interactive medical image segmentation with weakly supervised deep learning method.
Autorzy :: Girum KB; ImViA Laboratory, University of Burgundy, Dijon, France. .; Radiation Oncology Department, CGFL, Batiment I3M, 64b rue sully, 21000, Dijon, France. .
Créhange G; ImViA Laboratory, University of Burgundy, Dijon, France.; Radiation Oncology Department, CGFL, Batiment I3M, 64b rue sully, 21000, Dijon, France.
Hussain R; ImViA Laboratory, University of Burgundy, Dijon, France.
Lalande A; ImViA Laboratory, University of Burgundy, Dijon, France.; Medical Imaging Department, CHU Dijon, Dijon, France.; Pokaż więcej
Źródło :: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2020 Sep; Vol. 15 (9), pp. 1437-1444. Date of Electronic Publication: 2020 Jul 11.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Neural Networks, Computer*
Image Processing, Computer-Assisted/*methods
Prostate/*diagnostic imaging
Prostatic Neoplasms/*diagnostic imaging
Prostatic Neoplasms/*radiotherapy
Brachytherapy ; Databases, Factual ; Diagnosis, Computer-Assisted/methods ; Echocardiography ; Humans ; Male ; Observer Variation ; Pattern Recognition, Automated ; Reproducibility of Results ; Tomography, X-Ray Computed ; Ultrasonography
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 9 9.

Tytuł :: Augmented Reality in Orthopedic Practice and Education.
Autorzy :: Keating TC; Department of Orthopedic Surgery, Rush University Medical Center, 1611 West Harrison Street, Suite 301, Chicago, IL 60612, USA. Electronic address: .
Jacobs JJ; Department of Orthopedic Surgery, Rush University Medical Center, 1611 West Harrison Street, Suite 201, Chicago, IL 60612, USA.; Pokaż więcej
Źródło :: The Orthopedic clinics of North America [Orthop Clin North Am] 2021 Jan; Vol. 52 (1), pp. 15-26.
Typ publikacji :: Journal Article; Review
MeSH Terms :: Augmented Reality*
Computer-Assisted Instruction*
Arthroplasty, Replacement, Hip/*education
Arthroplasty, Replacement, Knee/*education
Orthopedics/*education
Clinical Competence ; Humans ; Surgery, Computer-Assisted/instrumentation ; Surgery, Computer-Assisted/methods
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 10 10.

Tytuł :: A Lightweight Internet Sharing Scheme for Sectional Medical Images according to Existing Hospital Network Facilities and Basic Information Security Rules.
Autorzy :: Qiao L; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.
Wu H; Information Technology Center, Army Medical University, Chongqing, China.
Wu Y; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.
Wu W; Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, China.
Yang J; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.
Nian Y; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.
Chen M; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.
Bai S; College of Big Data and Artificial Intelligence, Chongqing Institute of Engineering, Chongqing, China.
Huang H; Department of Information, Army Medical Center, Chongqing, China.
Qiu M; College of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China.; Pokaż więcej
Źródło :: Journal of healthcare engineering [J Healthc Eng] 2020 Dec 04; Vol. 2020, pp. 8838390. Date of Electronic Publication: 2020 Dec 04 (Print Publication: 2020).
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Computer Security*
Internet*
Diagnostic Imaging/*instrumentation
Radiology/*methods
Algorithms ; COVID-19 ; Computer Communication Networks ; Computers ; Diagnostic Imaging/methods ; Equipment Design ; Hospitalization ; Hospitals ; Humans ; Image Processing, Computer-Assisted/methods ; Medical Informatics ; Programming Languages ; Telemedicine
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 11 11.

Tytuł :: CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks.
Autorzy :: Wang H; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Gu H; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Qin P; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Wang J; Department of Surgery, Second Hospital of Dalian Medical University, Dalian, Liaoning, China.; Pokaż więcej
Źródło :: PloS one [PLoS One] 2020 Nov 09; Vol. 15 (11), pp. e0242013. Date of Electronic Publication: 2020 Nov 09 (Print Publication: 2020).
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Neural Networks, Computer*
Pneumothorax/*diagnostic imaging
Deep Learning ; Diagnosis, Computer-Assisted/methods ; Humans ; Image Processing, Computer-Assisted/methods ; Radiography/methods
: Czasopismo naukowe

Szczegóły Pełny tekst Pełny tekst

Skocz do pozycji: 12 12.

Tytuł :: A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic.
Autorzy :: Kaul S; Department of Computer Science, University of North Carolina at Chapel Hill, USA.
Coleman C; Department of Family Medicine, Preventive Medicine Residency Program, University of North Carolina School of Medicine, USA.
Gotz D; Carolina Health Informatics Program, School of Information and Library Science, University of North Carolina at Chapel Hill, USA.; Pokaż więcej
Źródło :: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Dec 09; Vol. 27 (12), pp. 1943-1948.
Typ publikacji :: Journal Article
MeSH Terms :: Computer Graphics*
Datasets as Topic*
COVID-19/*mortality
Morgue/*statistics & numerical data
COVID-19/epidemiology ; Humans ; Internet ; North Carolina/epidemiology ; Pandemics ; Population Surveillance/methods ; User-Computer Interface
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 13 13.

Tytuł :: Does a fully digital workflow improve the accuracy of computer-assisted implant surgery in partially edentulous patients? A systematic review of clinical trials.
Autorzy :: Siqueira R; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Chen Z; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Galli M; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Saleh I; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Wang HL; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.
Chan HL; Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan, USA.; Pokaż więcej
Źródło :: Clinical implant dentistry and related research [Clin Implant Dent Relat Res] 2020 Dec; Vol. 22 (6), pp. 660-671. Date of Electronic Publication: 2020 Sep 22.
Typ publikacji :: Journal Article; Meta-Analysis; Systematic Review
MeSH Terms :: Dental Implants*
Surgery, Computer-Assisted*
Computer-Aided Design ; Computers ; Dental Implantation, Endosseous ; Humans ; Prospective Studies ; Workflow
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 14 14.

Tytuł :: Comparison of the accuracy of implant position for two-implants supported fixed dental prosthesis using static and dynamic computer-assisted implant surgery: A randomized controlled clinical trial.
Autorzy :: Yimarj P; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Subbalekha K; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Dhanesuan K; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Siriwatana K; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Mattheos N; Implant Dentistry, Oral Rehabilitation, Faculty of Dentistry of the University of Hong Kong, Prince Philip Dental Hospital, Hong Kong, China.
Pimkhaokham A; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.; Pokaż więcej
Źródło :: Clinical implant dentistry and related research [Clin Implant Dent Relat Res] 2020 Dec; Vol. 22 (6), pp. 672-678. Date of Electronic Publication: 2020 Sep 17.
Typ publikacji :: Journal Article; Randomized Controlled Trial
MeSH Terms :: Dental Implants*
Surgery, Computer-Assisted*
Computer-Aided Design ; Computers ; Cone-Beam Computed Tomography ; Dental Implantation, Endosseous ; Humans ; Imaging, Three-Dimensional
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 15 15.

Tytuł :: CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Autorzy :: Khan AI; Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Electronic address: .
Shah JL; Higher Education Department, J&K, India.
Bhat MM; Lelafe IT Solutions, J&K, India.; Pokaż więcej
Źródło :: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2020 Nov; Vol. 196, pp. 105581. Date of Electronic Publication: 2020 Jun 05.
Typ publikacji :: Journal Article
MeSH Terms :: Neural Networks, Computer*
Software*
Coronavirus Infections/*diagnostic imaging
Pneumonia, Viral/*diagnostic imaging
Radiographic Image Interpretation, Computer-Assisted/*instrumentation
Radiography, Thoracic/*methods
Algorithms ; Betacoronavirus ; COVID-19 ; Databases, Factual ; Deep Learning ; False Positive Reactions ; Humans ; Pandemics ; Radiographic Image Interpretation, Computer-Assisted/methods ; Reproducibility of Results ; SARS-CoV-2
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 16 16.

Tytuł :: An In-House Computer-Aided Design and Computer-Aided Manufacturing Workflow for Maxillofacial Free Flap Reconstruction is Associated With a Low Cost and High Accuracy.
Autorzy :: Moe J; Assistant Professor and Residency Program Director, Oral and Maxillofacial Surgery Associate Director, Oncology/Microvascular Surgery Fellowship, University of Michigan, Ann Arbor, MI. Electronic address: .
Foss J; Student, University of Michigan, Ann Arbor, MI.
Herster R; Student, College of Engineering, University of Michigan, Ann Arbor, MI.
Powell C; Consulting for Statistics, Computing, and Analytics Research, University of Michigan, Ann Arbor, MI.
Helman J; Former C. J. Lyons Endowed Professor and Chair, Department of Oral and Maxillofacial Surgery, University of Michigan, Retired, Ann Arbor, MI.
Ward BB; Section Head, Chair, and Associate Professor, Oral and Maxillofacial Surgery Director, Oncology/Microvascular Surgery Fellowship, University of Michigan, Ann Arbor, MI.
VanKoevering K; Assistant Professor, Department of Otolaryngology, University of Michigan, Ann Arbor, MI.; Pokaż więcej
Źródło :: Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons [J Oral Maxillofac Surg] 2021 Jan; Vol. 79 (1), pp. 227-236. Date of Electronic Publication: 2020 Aug 05.
Typ publikacji :: Journal Article
MeSH Terms :: Free Tissue Flaps*
Mandibular Reconstruction*
Surgery, Computer-Assisted*
Computer-Aided Design ; Fibula ; Humans ; Retrospective Studies ; Workflow
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 17 17.

Tytuł :: [Building virtual simulation teaching platform based on electronic standardized patient].
Autorzy :: Yuan YB; The National Virtual Simulation Center of Basic Medicine, Nanjing Medical University, Nanjing 211166, China.
Wang JJ; Department of Physiology, Nanjing Medical University, Nanjing 211166, China.
Lin MH; Shanghai Mengoo Digital Technology Co., Ltd, Shanghai 201203, China.
Gao XY; The National Virtual Simulation Center of Basic Medicine, Nanjing Medical University, Nanjing 211166, China.; Department of Physiology, Nanjing Medical University, Nanjing 211166, China. .; Pokaż więcej
Źródło :: Sheng li xue bao : [Acta physiologica Sinica] [Sheng Li Xue Bao] 2020 Dec 25; Vol. 72 (6), pp. 730-736.
Typ publikacji :: Journal Article
MeSH Terms :: Learning*
User-Computer Interface*
Computer Simulation ; Electronics ; Humans
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 18 18.

Tytuł :: Deep Learning on chromatographic data for Segmentation and Sensitive Analysis.
Autorzy :: Qin Q; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Wang K; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Xu H; School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: .
Cao B; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Zheng W; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .
Jin Q; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, People's Republic of China; Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, People's Republic of China. Electronic address: .
Cui D; Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yantai Information Technology Research Institute of SJTU, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Shanghai 200240, China. Electronic address: .; Pokaż więcej
Źródło :: Journal of chromatography. A [J Chromatogr A] 2020 Dec 20; Vol. 1634, pp. 461680. Date of Electronic Publication: 2020 Nov 05.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Image Processing, Computer-Assisted*
Chromatography/*methods
Immunoassay/methods ; Neural Networks, Computer
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 19 19.

Tytuł :: Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.
Autorzy :: Allyn J; Intensive care unit.; Clinical Informatic Department.
Allou N; Intensive care unit.; Clinical Informatic Department.
Vidal C; Intensive care unit.
Renou A; Intensive care unit.
Ferdynus C; Clinical Informatic Department.; Methodological Support Unit, Saint-Denis University Hospital, Saint-Denis, Reunion Island.; INSERM, CIC 1410, F-97410, Saint-Pierre, France.; Pokaż więcej
Źródło :: Medicine [Medicine (Baltimore)] 2020 Dec 11; Vol. 99 (50), pp. e23568.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Diagnostic Errors*
Image Interpretation, Computer-Assisted*
Skin Diseases/*diagnosis
Algorithms ; Datasets as Topic ; Humans ; Models, Statistical ; Neural Networks, Computer ; Reproducibility of Results ; Risk Factors ; Sensitivity and Specificity ; Skin/pathology ; Skin Diseases/pathology
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 20 20.

Tytuł :: A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India.
Autorzy :: Ulahannan JP; Department of Physics, Government College Kasaragod, Kannur University, Kannur, India.
Narayanan N; Open Data Researcher, Bengaluru, India.
Thalhath N; School of Library, Information and Media Studies, University of Tsukuba, Tsukuba, Japan.
Prabhakaran P; Department of Advanced Materials and Chemical Engineering, Hannam University, Daejeon, South Korea.
Chaliyeduth S; Centre for Cognitive and Brain Sciences, Indian Institute of Technology Gandhinagar, Gandhinagar, India.
Suresh SP; Department of Humanities and Social Sciences, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India.
Mohammed M; Embedded Analytics, ML and Data Sciences, Experion Technologies, Thiruvananthapuram, India.
Rajeevan E; Department of Philosophy, Government Brennen College, Kannur University, Kannur, India.
Joseph S; Department of Travel and Tourism Management, Govinda Pai Memorial Government College, Kannur University, Kannur, India.
Balakrishnan A; Software Research and Development Team, Crowcon, Bengaluru, India.
Uthaman J; Department of Marine Geophysics, Cochin University of Science and Technology, Kochi, India.
Karingamadathil M; Swathanthra Malayalam Computing, Thrissur, India.
Thomas ST; Department of Electronics, College of Engineering Attingal, APJ Abdul Kalam Technical University, Thiruvananthapuram, India.
Sureshkumar U; Astronomical Observatory of the Jagiellonian University, Faculty of Physics, Astronomy and Applied Science, Jagiellonian University, Kraków, Poland.
Balan S; Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Japan.
Vellichirammal NN; Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, Nebraska, USA.; Pokaż więcej
Corporate Authors :: Collective for Open Data Distribution-Keralam (CODD-K) consortium
Źródło :: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Dec 09; Vol. 27 (12), pp. 1913-1920.
Typ publikacji :: Journal Article
MeSH Terms :: Citizen Science*
Computer Graphics*
Datasets as Topic*
Pandemics*
COVID-19/*epidemiology
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Female ; Humans ; India/epidemiology ; Male ; Middle Aged ; User-Computer Interface ; Young Adult
: Czasopismo naukowe

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