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Wyświetlanie 1-20 z 14151
Tytuł:
Employing deep learning and transfer learning for accurate brain tumor detection.
Autorzy:
Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India.
Sonaimuthu S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India.
Murugesan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India.
Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, 466114, India.
Shivahare BD; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India.
Shah MA; Kebri Dehar University, 250, Kebri Dehar, Somali, Ethiopia. .; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. .; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. .
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 27; Vol. 14 (1), pp. 7232. Date of Electronic Publication: 2024 Mar 27.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Brain Neoplasms*/diagnostic imaging
Meningeal Neoplasms*
Humans ; Artificial Intelligence ; Brain/diagnostic imaging ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform.
Autorzy:
Sharkas M; Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt.
Attallah O; Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt. .; Wearables, Biosensing, and Biosignal Processing Laboratory, Arab Academy for Science, Technology and Maritime Transport, Alexandria, 21937, Egypt. .
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 22; Vol. 14 (1), pp. 6914. Date of Electronic Publication: 2024 Mar 22.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Colorectal Neoplasms*/diagnosis
Humans ; Neural Networks, Computer ; Machine Learning ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Iterative pseudo balancing for stem cell microscopy image classification.
Autorzy:
Witmer A; Department of Bioengineering, University of California, Riverside, CA, 92521, USA. .
Bhanu B; Department of Bioengineering, University of California, Riverside, CA, 92521, USA.; Department of Electrical and Computer Engineering, University of California, Riverside, CA, 92521, USA.
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 24; Vol. 14 (1), pp. 4489. Date of Electronic Publication: 2024 Feb 24.
Typ publikacji:
Journal Article
MeSH Terms:
Microscopy*
Learning*
Humans ; Neural Networks, Computer ; Product Labeling ; Stem Cells ; Image Processing, Computer-Assisted ; Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning-based prediction of in-hospital mortality for sepsis.
Autorzy:
Yong L; College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, People's Republic of China.
Zhenzhou L; College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, People's Republic of China. .
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Źródło:
Scientific reports [Sci Rep] 2024 Jan 03; Vol. 14 (1), pp. 372. Date of Electronic Publication: 2024 Jan 03.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Sepsis*
Humans ; Hospital Mortality ; ROC Curve ; Machine Learning ; Intensive Care Units
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Naïve, adult, captive chimpanzees do not socially learn how to make and use sharp stone tools.
Autorzy:
Bandini E; Department of Geosciences, Working Group Early Prehistory and Quaternary Ecology, University of Tübingen, Tübingen, Germany. .; Department of Evolutionary Biology and Environmental Sciences, University of Zürich, Zürich, Switzerland. .
Tennie C; Department of Geosciences, Working Group Early Prehistory and Quaternary Ecology, University of Tübingen, Tübingen, Germany.; Department of Human Evolution, Max Plank Institute for Evolutionary Anthropology, Leipzig, Germany.
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Źródło:
Scientific reports [Sci Rep] 2023 Dec 20; Vol. 13 (1), pp. 22733. Date of Electronic Publication: 2023 Dec 20.
Typ publikacji:
Journal Article
MeSH Terms:
Pan troglodytes*
Social Learning*
Animals ; Humans ; Learning ; Behavior, Animal ; Social Behavior
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Fully automated deep learning models with smartphone applicability for prediction of pain using the Feline Grimace Scale.
Autorzy:
Steagall PV; Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada. .; Department of Veterinary Clinical Sciences and Centre for Animal Health and Welfare, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China. .
Monteiro BP; Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Marangoni S; Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Moussa M; Plateforme IA-Agrosanté, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Sautié M; Plateforme IA-Agrosanté, Université de Montréal, Saint-Hyacinthe, QC, Canada.
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Źródło:
Scientific reports [Sci Rep] 2023 Dec 07; Vol. 13 (1), pp. 21584. Date of Electronic Publication: 2023 Dec 07.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Acute Pain*
Cats ; Animals ; Smartphone ; Neural Networks, Computer ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
Autorzy:
Wolf D; Visual Computing Research Group, Institute of Media Informatics, Ulm University, Ulm, Germany. .; Experimental Radiology Research Group, Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany. .
Payer T; Visual Computing Research Group, Institute of Media Informatics, Ulm University, Ulm, Germany.
Lisson CS; Experimental Radiology Research Group, Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany.
Lisson CG; Experimental Radiology Research Group, Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany.
Beer M; Experimental Radiology Research Group, Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany.
Götz M; Experimental Radiology Research Group, Department for Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany.
Ropinski T; Visual Computing Research Group, Institute of Media Informatics, Ulm University, Ulm, Germany.
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Źródło:
Scientific reports [Sci Rep] 2023 Nov 20; Vol. 13 (1), pp. 20260. Date of Electronic Publication: 2023 Nov 20.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Diagnostic Imaging ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods ; Radiography ; Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers.
Autorzy:
Twala B; Office of the Deputy Vice-Chancellor (Digital Transformation), Tshwane University of Technology, Private Bag x680, Pretoria, 001, South Africa. .
Molloy E; Waterford Institute of Technology, School of Science & Computing, Waterford, Ireland.
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Źródło:
Scientific reports [Sci Rep] 2023 Nov 15; Vol. 13 (1), pp. 19957. Date of Electronic Publication: 2023 Nov 15.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Autism Spectrum Disorder*/diagnosis
Autism Spectrum Disorder*/therapy
Child ; Humans ; Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
Autorzy:
Celniak W; University of Applied Sciences Western Switzerland (HES-SO), 3960, Sierre, Switzerland. .; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Krakow, 30059, Kraków, Poland. .
Wodziński M; University of Applied Sciences Western Switzerland (HES-SO), 3960, Sierre, Switzerland.; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Krakow, 30059, Kraków, Poland.
Jurgas A; University of Applied Sciences Western Switzerland (HES-SO), 3960, Sierre, Switzerland.; Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Krakow, 30059, Kraków, Poland.
Burti S; Department of Animal Medicine, Productions, and Health, Legnaro (PD), University of Padua, 35020, Padua, Italy.
Zotti A; Department of Animal Medicine, Productions, and Health, Legnaro (PD), University of Padua, 35020, Padua, Italy.
Atzori M; University of Applied Sciences Western Switzerland (HES-SO), 3960, Sierre, Switzerland.; Department of Neuroscience, University of Padua, 35121, Padua, IT, Italy.; Padova Neuroscience Center, University of Padova, Via Orus 2/B, 35129, Padova, Italy.
Müller H; University of Applied Sciences Western Switzerland (HES-SO), 3960, Sierre, Switzerland.; Medical Faculty, University of Geneva, 1206, Geneva, Switzerland.; The Sense Research and Innovation Insitute, 1950, Sion, Switzerland.
Banzato T; Department of Animal Medicine, Productions, and Health, Legnaro (PD), University of Padua, 35020, Padua, Italy.
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Źródło:
Scientific reports [Sci Rep] 2023 Nov 09; Vol. 13 (1), pp. 19518. Date of Electronic Publication: 2023 Nov 09.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Animals ; Dogs ; Radiography ; Databases, Factual ; Investments ; Knowledge ; Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Joint triplet loss with semi-hard constraint for data augmentation and disease prediction using gene expression data.
Autorzy:
Chung Y; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Lee H; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea. .; Artificial Intelligence Graduate School, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea. .
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 24; Vol. 13 (1), pp. 18178. Date of Electronic Publication: 2023 Oct 24.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Alzheimer Disease*/genetics
Neoplasms*/genetics
Humans ; Learning ; Gene Expression
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth.
Autorzy:
Sujatha Ravindran A; Noninvasive Brain-Machine Interface System Laboratory, Department of Electrical and Computer Engineering, University of Houston, Houston, 77204, USA. .; IUCRC BRAIN, University of Houston, Houston, 77204, USA. .; Alto Neuroscience, Los Altos, CA, 94022, USA. .
Contreras-Vidal J; Noninvasive Brain-Machine Interface System Laboratory, Department of Electrical and Computer Engineering, University of Houston, Houston, 77204, USA.; IUCRC BRAIN, University of Houston, Houston, 77204, USA.
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 18; Vol. 13 (1), pp. 17709. Date of Electronic Publication: 2023 Oct 18.
Typ publikacji:
Review; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Neural Networks, Computer*
Deep Learning*
Reproducibility of Results ; Electroencephalography/methods ; Machine Learning ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Effects of MRI scanner manufacturers in classification tasks with deep learning models.
Autorzy:
Kushol R; Department of Computing Science, University of Alberta, Edmonton, Canada. .
Parnianpour P; Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.
Wilman AH; Departments of Radiology and Diagnostic Imaging and Biomedical Engineering, University of Alberta, Edmonton, Canada.
Kalra S; Department of Computing Science, University of Alberta, Edmonton, Canada.; Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.; Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada.
Yang YH; Department of Computing Science, University of Alberta, Edmonton, Canada.
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 05; Vol. 13 (1), pp. 16791. Date of Electronic Publication: 2023 Oct 05.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Magnetic Resonance Imaging/methods ; Neuroimaging ; Machine Learning ; Natural Language Processing
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Selecting cardiac magnetic resonance images suitable for annotation of pulmonary arteries using an active-learning based deep learning model.
Autorzy:
van der Veen W; Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.; Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.
Benjamins JW; Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Yeung MW; Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.; Department of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.
van der Harst P; Department of Cardiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. .; Department of Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands. .
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Źródło:
Scientific reports [Sci Rep] 2023 Sep 19; Vol. 13 (1), pp. 15478. Date of Electronic Publication: 2023 Sep 19.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Pulmonary Artery*/diagnostic imaging
Deep Learning*
Humans ; Problem-Based Learning ; Aging ; Magnetic Resonance Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A proof-of-concept study of vicarious extinction learning and autonomic synchrony in parent-child dyads and posttraumatic stress disorder.
Autorzy:
Heyn SA; Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, 6001 Research Park Blvd., Madison, WI, 53719, USA. .
George G; McLean Hospital, Harvard Medical School, Belmont, MA, USA.
Hamm E; Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Olson C; Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, 6001 Research Park Blvd., Madison, WI, 53719, USA.
Harari JH; School of Medicine and Public Health, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Marin MF; Department of Psychology, Université du Québec à Montréal, Montreal, QC, Canada.
Milad MR; Department of Psychiatry and Behavioral Health, McGovern Medical School, University of Texas Health at Houston, Houston, TX, USA.
Herringa RJ; Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, 6001 Research Park Blvd., Madison, WI, 53719, USA.
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Źródło:
Scientific reports [Sci Rep] 2023 Sep 11; Vol. 13 (1), pp. 14968. Date of Electronic Publication: 2023 Sep 11.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Stress Disorders, Post-Traumatic*
Social Learning*
Adolescent ; Humans ; Child ; Bayes Theorem ; Learning ; Parent-Child Relations
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Coronary heart disease prediction method fusing domain-adaptive transfer learning with graph convolutional networks (GCN).
Autorzy:
Lin H; Department of Cardiology, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Chen K; College of Computer and Data Science, Fuzhou University, Fujian, 350108, People's Republic of China.
Xue Y; College of Computer and Data Science, Fuzhou University, Fujian, 350108, People's Republic of China.
Zhong S; College of Computer and Data Science, Fuzhou University, Fujian, 350108, People's Republic of China.
Chen L; Department of Cardiology, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Ye M; Department of Cardiology, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China. .
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Źródło:
Scientific reports [Sci Rep] 2023 Aug 31; Vol. 13 (1), pp. 14276. Date of Electronic Publication: 2023 Aug 31.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Learning*
Coronary Disease*
Humans ; Knowledge ; Records ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.
Autorzy:
Park D; School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
Jang R; Vuno Inc., Seoul, Republic of Korea.
Chung MJ; Medical AI Research Center, Samsung Medical Center, Seoul, 06351, Republic of Korea.; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
An HJ; Vuno Inc., Seoul, Republic of Korea.
Bak S; Vuno Inc., Seoul, Republic of Korea.
Choi E; Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea.
Hwang D; School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. .; Center for Healthcare Robotics, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea. .; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea. .; Department of Radiology and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, Seoul, Republic of Korea. .
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Źródło:
Scientific reports [Sci Rep] 2023 Aug 17; Vol. 13 (1), pp. 13420. Date of Electronic Publication: 2023 Aug 17.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
COVID-19*
Deep Learning*
Influenza, Human*
Pneumonia, Viral*/diagnosis
Humans ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mammography using low-frequency electromagnetic fields with deep learning.
Autorzy:
Akbari-Chelaresi H; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Alsaedi D; Department of Electrical Engineering, Taif University, 26571, Taif, Saudi Arabia.
Mirjahanmardi SH; Department of Medical Physics, Stanford University, Stanford, CA, 94304, USA.
El Badawe M; Soundskrit Inc., 1751 Rue Richardson, No. 5102, Montreal, Canada.
Albishi AM; Electrical Engineering Department, King Saud University, 11421, Riyadh, Saudi Arabia.
Nayyeri V; School of Advanced Technologies, Iran University of Science and Technology, Tehran, 16846-13114, Iran. .
Ramahi OM; Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada. .
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Źródło:
Scientific reports [Sci Rep] 2023 Aug 15; Vol. 13 (1), pp. 13253. Date of Electronic Publication: 2023 Aug 15.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Female ; Humans ; Electromagnetic Fields ; Mammography/methods ; Breast/diagnostic imaging ; Breast/pathology ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Machine learning prediction and classification of behavioral selection in a canine olfactory detection program.
Autorzy:
Eyre AW; Center for Clinical and Translational Research, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, 43205, USA.
Zapata I; Department of Biomedical Sciences, Rocky Vista University College of Osteopathic Medicine, Parker, CO, 80134, USA.
Hare E; Dog Genetics LLC, Astoria, NY, 11102, USA.; Penn Vet Working Dog Center, Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19146, USA.
Serpell JA; Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Otto CM; Penn Vet Working Dog Center, Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19146, USA.
Alvarez CE; Departments of Pediatrics and Veterinary Clinical Sciences, The Ohio State University Colleges of Medicine and Veterinary Medicine, Columbus, OH, 43210, USA. .
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Źródło:
Scientific reports [Sci Rep] 2023 Aug 01; Vol. 13 (1), pp. 12489. Date of Electronic Publication: 2023 Aug 01.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Smell*
Machine Learning*
Dogs ; Animals ; Supervised Machine Learning ; Algorithms ; Mental Processes
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Autorzy:
Kalantar R; Division of Radiotherapy and Imaging, the Institute of Cancer, London, SM2 5NG, UK.
Hindocha S; Division of Radiotherapy and Imaging, the Institute of Cancer, London, SM2 5NG, UK.; AI for Healthcare Centre for Doctoral Training, Imperial College London, Exhibition Road, London, SW7 2BX, UK.; Cancer Imaging Centre, Department of Surgery & Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK.; Early Diagnosis and Detection Team, The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Hunter B; Cancer Imaging Centre, Department of Surgery & Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK.; Early Diagnosis and Detection Team, The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Sharma B; Division of Radiotherapy and Imaging, the Institute of Cancer, London, SM2 5NG, UK.; Department of Radiology, The Royal Marsden NHS Foundation Trust, Sutton, SM2 5PT, UK.
Khan N; Department of Radiology, The Royal Marsden NHS Foundation Trust, Sutton, SM2 5PT, UK.
Koh DM; Department of Radiology, The Royal Marsden NHS Foundation Trust, Sutton, SM2 5PT, UK.
Ahmed M; Lung Unit, The Royal Marsden NHS Foundation Trust, Sutton, SM2 5PT, UK.
Aboagye EO; Cancer Imaging Centre, Department of Surgery & Cancer, Imperial College London, Du Cane Road, London, W12 0NN, UK.
Lee RW; Early Diagnosis and Detection Team, The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Blackledge MD; Division of Radiotherapy and Imaging, the Institute of Cancer, London, SM2 5NG, UK. .
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Źródło:
Scientific reports [Sci Rep] 2023 Jun 29; Vol. 13 (1), pp. 10568. Date of Electronic Publication: 2023 Jun 29.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
COVID-19*/diagnostic imaging
Humans ; Artificial Intelligence ; Tomography, X-Ray Computed ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands.
Autorzy:
Bandyopadhyay S; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, USA.
Wittmayer J; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, USA.
Libon DJ; Department of Geriatrics and Gerontology, Department of Psychology, New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Glassboro, USA.
Tighe P; Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, USA.
Price C; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, USA.
Rashidi P; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, USA. .
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Źródło:
Scientific reports [Sci Rep] 2023 May 06; Vol. 13 (1), pp. 7384. Date of Electronic Publication: 2023 May 06.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Deep Learning*
Persea*
Humans ; Neural Networks, Computer ; Supervised Machine Learning ; Neuropsychological Tests
Czasopismo naukowe
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