Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Ukraiński (UK)
Przejdź do strony domowej biblioteki Uniwersytet Ekonomiczny we Wrocławiu Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaUniwersytet Ekonomiczny we Wrocławiu

Wyszukujesz frazę ""Diagnosis, Computer-Assisted"" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-20 z 2286
Tytuł:
Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings.
Autorzy:
Hu Y; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Hu Z; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.; Department of Stomatology, Shenzhen Longhua District Central Hospital, Shenzhen, People's Republic of China.
Liu W; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Gao A; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Wen S; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Liu S; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China.
Lin Z; Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, Jiangsu, People's Republic of China. linzitong_.
Pokaż więcej
Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Feb 19; Vol. 24 (1), pp. 55. Date of Electronic Publication: 2024 Feb 19.
Typ publikacji:
Journal Article
MeSH Terms:
Cone-Beam Computed Tomography*
Artificial Intelligence*
Diagnosis, Computer-Assisted*
Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
GAN-based medical image small region forgery detection via a two-stage cascade framework.
Autorzy:
Zhang J; Beijing Electronic Science and Technology Institute, Beijing, China.; University of Louisiana at Lafayette, Lafayette, Louisiana, United States of America.
Huang X; Beijing Electronic Science and Technology Institute, Beijing, China.
Liu Y; Beijing Electronic Science and Technology Institute, Beijing, China.
Han Y; Beijing Electronic Science and Technology Institute, Beijing, China.
Xiang Z; Beijing Electronic Science and Technology Institute, Beijing, China.
Pokaż więcej
Źródło:
PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0290303. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Diagnosis, Computer-Assisted*
Lung Neoplasms*/diagnostic imaging
Humans ; Tomography, X-Ray Computed ; Uncertainty ; Image Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet.
Autorzy:
Khaledyan D; Department of Electrical and Electronics Engineering, University of Rochester, Rochester, NY, United States of America.
Marini TJ; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America.
M Baran T; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America.
O'Connell A; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America.
Parker K; Department of Electrical and Electronics Engineering, University of Rochester, Rochester, NY, United States of America.; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States of America.
Pokaż więcej
Źródło:
PloS one [PLoS One] 2023 Dec 13; Vol. 18 (12), pp. e0289195. Date of Electronic Publication: 2023 Dec 13 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Benchmarking*
Diagnosis, Computer-Assisted*
Female ; Humans ; Research Personnel ; Ultrasonography, Mammary ; Image Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improved UNet with Attention for Medical Image Segmentation.
Autorzy:
Al Qurri A; School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA 16802, USA.
Almekkawy M; School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA 16802, USA.
Pokaż więcej
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Oct 20; Vol. 23 (20). Date of Electronic Publication: 2023 Oct 20.
Typ publikacji:
Journal Article
MeSH Terms:
Diagnosis, Computer-Assisted*
Electric Power Supplies*
Image Processing, Computer-Assisted ; Natural Language Processing ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets.
Autorzy:
Gende M; Grupo, VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, Xubias de Arriba, 84, A Coruña, 15006, A Coruña, Spain.; Centro de investigación, CITIC, Universidade da Coruña, Campus de Elviña s/n, A Coruña, 15071, A Coruña, Spain.
de Moura J; Grupo, VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, Xubias de Arriba, 84, A Coruña, 15006, A Coruña, Spain. .; Centro de investigación, CITIC, Universidade da Coruña, Campus de Elviña s/n, A Coruña, 15071, A Coruña, Spain. .
Novo J; Grupo, VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, Xubias de Arriba, 84, A Coruña, 15006, A Coruña, Spain.; Centro de investigación, CITIC, Universidade da Coruña, Campus de Elviña s/n, A Coruña, 15071, A Coruña, Spain.
Penedo MG; Grupo, VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, Xubias de Arriba, 84, A Coruña, 15006, A Coruña, Spain.; Centro de investigación, CITIC, Universidade da Coruña, Campus de Elviña s/n, A Coruña, 15071, A Coruña, Spain.
Ortega M; Grupo, VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, Xubias de Arriba, 84, A Coruña, 15006, A Coruña, Spain.; Centro de investigación, CITIC, Universidade da Coruña, Campus de Elviña s/n, A Coruña, 15071, A Coruña, Spain.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 May; Vol. 61 (5), pp. 1093-1112. Date of Electronic Publication: 2023 Jan 21.
Typ publikacji:
Journal Article
MeSH Terms:
Tomography, Optical Coherence*/methods
Diagnosis, Computer-Assisted*
Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans.
Autorzy:
Majumder S; Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, India.; Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
Gautam N; Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
Basu A; Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India.
Sau A; Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
Geem ZW; College of IT Convergence, Gachon University, Seongnam, South Korea.
Sarkar R; Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
Pokaż więcej
Źródło:
PloS one [PLoS One] 2024 Mar 11; Vol. 19 (3), pp. e0298527. Date of Electronic Publication: 2024 Mar 11 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Lung Neoplasms*/diagnostic imaging
Humans ; Lung/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Diagnosis, Computer-Assisted/methods ; Iraq
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Centralized Space Learning for open-set computer-aided diagnosis.
Autorzy:
Yu Z; Beijing Academy of Artificial Intelligence Institution, Beijing, China.
Shi Y; Beijing Academy of Artificial Intelligence Institution, Beijing, China. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Jan 30; Vol. 13 (1), pp. 1630. Date of Electronic Publication: 2023 Jan 30.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Diagnosis, Computer-Assisted*
Spatial Learning*
Recognition, Psychology ; Research Design ; Computers
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improving diagnostic performance of rib fractures for the night shift in radiology department using a computer-aided diagnosis system based on deep learning: A clinical retrospective study.
Autorzy:
Xiong S; Department of Radiology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China.
Hu H; Department of Radiology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China.
Liu S; Department of Radiology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China.
Huang Y; Department of Radiology, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou, China.
Cheng J; Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Wan B; Department of Radiology, Renhe Hospital Affiliated to Three Gorges University, Yichang, China.
Pokaż więcej
Źródło:
Journal of X-ray science and technology [J Xray Sci Technol] 2023; Vol. 31 (2), pp. 265-276.
Typ publikacji:
Journal Article
MeSH Terms:
Rib Fractures*/diagnostic imaging
Diagnosis, Computer-Assisted*/methods
Humans ; Deep Learning ; Retrospective Studies ; Sensitivity and Specificity ; Thoracic Injuries/diagnostic imaging ; Radiology Department, Hospital ; Shift Work Schedule ; Tomography, X-Ray Computed ; Male ; Female ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Aged, 80 and over
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification.
Autorzy:
Bilal A; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Imran A; Department of Creative Technologies, Air University, Islamabad, Pakistan.
Baig TI; School of Life Science and Technology, University of Electronic Science and Technology of China UESTC, Chengdu, Sichuan, China.; School of Science and Technology, University of Management and Technology UMT, Lahore, Punjab, Pakistan.
Liu X; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Long H; College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Alzahrani A; Faculty of Computer Science & Information Technology, Al Baha University, Al Baha, Saudi Arabia.
Shafiq M; School of Information Engineering, Qujing Normal University, Sichuan, China.
Pokaż więcej
Źródło:
PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0295951. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Diabetic Retinopathy*/diagnostic imaging
Diabetes Mellitus*
Humans ; Artificial Intelligence ; Support Vector Machine ; Image Interpretation, Computer-Assisted/methods ; Diagnosis, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model.
Autorzy:
Bordbar M; Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran.
Helfroush MS; Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran. ms_.
Danyali H; Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran.
Ejtehadi F; Department of Internal Medicine, Gastroenterohepatology Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Pokaż więcej
Źródło:
Biomedical engineering online [Biomed Eng Online] 2023 Dec 15; Vol. 22 (1), pp. 124. Date of Electronic Publication: 2023 Dec 15.
Typ publikacji:
Journal Article
MeSH Terms:
Capsule Endoscopy*/methods
Humans ; Neural Networks, Computer ; Diagnosis, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal.
Autorzy:
Franco FO; Interunit PostGraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), 05508-090, São Paulo, SP, Brazil. .; Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil. .
Oliveira JS; School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil.
Portolese J; Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil.
Sumiya FM; Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil.
Silva AF; Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil.
Machado-Lima A; School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil.
Nunes FLS; School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil.
Brentani H; Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil.
Pokaż więcej
Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Dec 14; Vol. 23 (1), pp. 285. Date of Electronic Publication: 2023 Dec 14.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Autistic Disorder*
Autism Spectrum Disorder*/diagnosis
Humans ; Eye-Tracking Technology ; Diagnosis, Computer-Assisted ; Computers
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma.
Autorzy:
Ali Shah A; Department of Computer Science, Bahria University, Islamabad, Pakistan.
Shaker ASA; Department of Computer Science, Bahria University, Lahore, Pakistan.
Jabbar S; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia.
Abbas Q; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia. .
Al-Balawi TS; College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia.
Celebi ME; Department of Computer Science and Engineering, University of Central Arkansas, 201 Donaghey Ave., Conway, AR, 72035, USA.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Dec 14; Vol. 13 (1), pp. 22251. Date of Electronic Publication: 2023 Dec 14.
Typ publikacji:
Journal Article
MeSH Terms:
Melanoma*/diagnosis
Melanoma*/genetics
Skin Neoplasms*/diagnosis
Skin Neoplasms*/genetics
Deep Learning*
Humans ; Melanocytes ; Diagnosis, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer.
Autorzy:
Kovacs B; Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany. .; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany. .; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany. .
Netzer N; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany.
Baumgartner M; Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.; Helmholtz Imaging, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
Schrader A; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany.
Isensee F; Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.; Helmholtz Imaging, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.
Weißer C; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany.
Wolf I; Mannheim University of Applied Sciences, Mannheim, Germany.
Görtz M; Junior Clinical Cooperation Unit 'Multiparametric Methods for Early Detection of Prostate Cancer', German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.
Jaeger PF; Helmholtz Imaging, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Interactive Machine Learning Group, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.
Schütz V; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.
Floca R; Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.
Gnirs R; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.
Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center, Heidelberg, Germany.
Hohenfellner M; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.
Schlemmer HP; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; German Cancer Consortium (DKTK), DKFZ, Core Center Heidelberg, Heidelberg, Germany.
Bonekamp D; Division of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany.; German Cancer Consortium (DKTK), DKFZ, Core Center Heidelberg, Heidelberg, Germany.
Maier-Hein KH; Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg, Im Neuenheimer Feld 223, 69120, Heidelberg, Germany.; Helmholtz Imaging, German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany.; German Cancer Consortium (DKTK), DKFZ, Core Center Heidelberg, Heidelberg, Germany.; Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 13; Vol. 13 (1), pp. 19805. Date of Electronic Publication: 2023 Nov 13.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Prostate*/diagnostic imaging
Prostate*/pathology
Prostatic Neoplasms*/diagnostic imaging
Prostatic Neoplasms*/pathology
Male ; Humans ; Magnetic Resonance Imaging/methods ; Diagnosis, Computer-Assisted/methods ; Computers
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse.
Autorzy:
Fan M; Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College, Zhuhai, 519087, China.
Peng X; Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College, Zhuhai, 519087, China.
Niu X; Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, 610064, China. .; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610064, China. .
Cui T; Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, 610064, China. .; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610064, China. .
He Q; School of Mathematics, Sichuan University, Chengdu, 610064, China.
Pokaż więcej
Źródło:
BMC medical research methodology [BMC Med Res Methodol] 2023 Nov 06; Vol. 23 (1), pp. 259. Date of Electronic Publication: 2023 Nov 06.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Uterine Prolapse*
Female ; Humans ; Diagnosis, Computer-Assisted ; Logistic Models
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Boosting the performance of pretrained CNN architecture on dermoscopic pigmented skin lesion classification.
Autorzy:
Nugroho ES; Engineering Faculty, Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia.; Department of Informatics, Politeknik Caltex Riau, Riau, Indonesia.
Ardiyanto I; Engineering Faculty, Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Nugroho HA; Engineering Faculty, Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Pokaż więcej
Źródło:
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) [Skin Res Technol] 2023 Nov; Vol. 29 (11), pp. e13505.
Typ publikacji:
Journal Article
MeSH Terms:
Skin Neoplasms*/pathology
Melanoma*/pathology
Pigmentation Disorders*
Humans ; Bayes Theorem ; Diagnosis, Computer-Assisted/methods ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review.
Autorzy:
Czajkowska J; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
Borak M; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
Pokaż więcej
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 30; Vol. 22 (21). Date of Electronic Publication: 2022 Oct 30.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Diagnosis, Computer-Assisted*/methods
Image Processing, Computer-Assisted*/methods
Ultrasonography ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Computer-Aided Diagnosis by Tissue Image Analysis as an Optical Biopsy in Hysteroscopy.
Autorzy:
Tanos V; Aretaeio Hospital, 55-57 Andrea Avraamides Street, Nicosia 2024, Cyprus.; Medical School, Nicosia of University, 93 Agiou Nikolaou Street, Nicosia 2408, Cyprus.
Neofytou M; Department of Computer Science and Biomedical Engineering Research Center, University of Cyprus, Nicosia 1678, Cyprus.
Tanos P; Causeway Hospital, Coleraine BT51 3AE, UK.
Pattichis CS; Department of Computer Science and Biomedical Engineering Research Center, University of Cyprus, Nicosia 1678, Cyprus.
Pattichis MS; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87131, USA.
Pokaż więcej
Źródło:
International journal of molecular sciences [Int J Mol Sci] 2022 Oct 24; Vol. 23 (21). Date of Electronic Publication: 2022 Oct 24.
Typ publikacji:
Review; Journal Article
MeSH Terms:
Hysteroscopy*/methods
Diagnosis, Computer-Assisted*
Pregnancy ; Humans ; Female ; Endometrium/diagnostic imaging ; Endometrium/pathology ; Biopsy ; Computers ; Sensitivity and Specificity
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Special Issue "Computer Aided Diagnosis Sensors".
Autorzy:
El-Baz A; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Giridharan GA; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Shalaby A; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Mahmoud AH; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Ghazal M; Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates.
Pokaż więcej
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 21; Vol. 22 (20). Date of Electronic Publication: 2022 Oct 21.
Typ publikacji:
Editorial
MeSH Terms:
Diagnosis, Computer-Assisted*
Computers*
Opinia redakcyjna
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels.
Autorzy:
Vats A; Department of Computer Science, NTNU, 2819, Gjøvik, Norway. .
Mohammed A; Department of Computer Science, NTNU, 2819, Gjøvik, Norway.; SINTEF Digital, Smart Sensor Systems, Oslo, Norway.
Pedersen M; Department of Computer Science, NTNU, 2819, Gjøvik, Norway.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2022 Sep 20; Vol. 12 (1), pp. 15708. Date of Electronic Publication: 2022 Sep 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Capsule Endoscopy*/methods
Diagnosis, Computer-Assisted*
Gastrointestinal Diseases*/diagnostic imaging
Gastrointestinal Diseases*/therapy
Disease Management ; Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification.
Autorzy:
Li L; Computer Science and Engineering, Northeastern University, Shenyang, China.; Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China.
Cao P; Computer Science and Engineering, Northeastern University, Shenyang, China. .; Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China. .
Yang J; Computer Science and Engineering, Northeastern University, Shenyang, China.; Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China.
Zaiane OR; Alberta Machine Intelligence Institute, University of Alberta, Edmonton, Alberta, Canada.
Pokaż więcej
Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Sep; Vol. 60 (9), pp. 2567-2588. Date of Electronic Publication: 2022 Jul 04.
Typ publikacji:
Journal Article
MeSH Terms:
Diagnosis, Computer-Assisted*
Humans ; Radiography ; X-Rays
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 2286

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies