المؤلفون: Lourdes Duran-Lopez, Antonio Felix Conde-Martin, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco, Saturnino Vicente-Diaz

المساهمون: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación, Ministerio de Economía y Competitividad (MINECO). España, Junta de Andalucía, [Duran-Lopez, Lourdes] Univ Seville, Robot & Technol Comp Lab, Seville 41012, Spain, [Dominguez-Morales, Juan P.] Univ Seville, Robot & Technol Comp Lab, Seville 41012, Spain, [Vicente-Diaz, Saturnino] Univ Seville, Robot & Technol Comp Lab, Seville 41012, Spain, [Linares-Barranco, Alejandro] Univ Seville, Robot & Technol Comp Lab, Seville 41012, Spain, [Felix Conde-Martin, Antonio] Virgen de Valme Hosp, Pathol Anat Unit, Seville 41014, Spain, Spanish Grant, European Regional Development Fund, Andalusian Regional Project PAIDI2020, FEDER

المصدر: IEEE Access, Vol 8, Pp 128613-128628 (2020)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname

مصطلحات موضوعية: 0301 basic medicine, Prostate biopsy, General Computer Science, Whole-slide images, Computer science, Convolutional neural network, Causes of cancer, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Prostate, medicine, General Materials Science, Biopsies, medicine.diagnostic_test, business.industry, Deep learning, General Engineering, whole-slide images, Cancer, deep learning, Histology, Pattern recognition, Computer-aided diagnosis, medicine.disease, Classification, prostate cancer, Normalization, 030104 developmental biology, medicine.anatomical_structure, Convolutional Neural Networks (CNN), 030220 oncology & carcinogenesis, Medical Image Analysis, Convolutional neural networks, computer-aided diagnosis, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, medical image analysis, lcsh:TK1-9971

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fc3b643814e91033d06fd76f1c56ee
https://ieeexplore.ieee.org/document/9139241/

المؤلفون: Jörg Franke, Keisuke Fukuta, Hao Chen, Willem Vreuls, Aoxiao Zhong, Farhad Ghazvinian Zanjani, Svitlana Zinger, Richard J. Chen, Hunter Jackson, Fabian Both, Heidi V.N. Küsters-Vandevelde, Daisuke Komura, Babak Ehteshami Bejnordi, Marcory C. R. F. van Dijk, Bram van Ginneken, Eren Halici, Ludwig Jacobsson, Vlado Ovtcharov, Quanzheng Li, Jeroen van der Laak, Peter Bult, Oscar Geessink, Melih cetin, Shaoqun Zeng, Geert Litjens, Martin Hedlund, Anders Bjorholm Dahl, Byungjae Lee, Péter Bándi, Huangjing Lin, Jeppe Thagaard, Quirine F. Manson, Meyke Hermsen, Shenghua Cheng, Kyunghyun Paeng, Maschenka Balkenhol

المساهمون: Video Coding & Architectures, Center for Care & Cure Technology Eindhoven, Biomedical Diagnostics Lab

المصدر: Bandi, P, Geessink, O, Manson, Q, van Dijk, M, Balkenhol, M, Hermsen, M, Bejnordi, B E, Lee, B, Paeng, K, Zhong, A, Li, Q, Zanjani, F G, Zinger, S, Fukuta, K, Komura, D, Ovtcharov, V, Cheng, S, Zeng, S, Thagaard, J, Dahl, A B, Lin, H, Chen, H, Jacobsson, L, Hedlund, M, Cetin, M, Halici, E, Jackson, H, Chen, R, Both, F, Franke, J, Kusters-Vandevelde, H, Vreuls, W, Bult, P, van Ginneken, B, van der Laak, J & Litjens, G 2018, ' From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge ', I E E E Transactions on Medical Imaging, vol. 38, no. 2, pp. 550-560 . https://doi.org/10.1109/TMI.2018.2867350
IEEE Transactions on Medical Imaging, 38, 2, pp. 550-560
IEEE Transactions on Medical Imaging, 38, 550-560
IEEE Transactions on Medical Imaging, 38(2):8447230, 550-560. Institute of Electrical and Electronics Engineers

مصطلحات موضوعية: Whole-slide images, Computer science, SDG 3 – Goede gezondheid en welzijn, computer.software_genre, Convolutional neural network, Metastasis, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, Breast cancer, Biomedical imaging, Pathology, False positive paradox, Lymph nodes, Lymph node, Grand challenge, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Radiological and Ultrasound Technology, Histological Techniques, Hospitals, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Computer Science Applications, grand challenge, medicine.anatomical_structure, Lymphatic Metastasis, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Metric (mathematics), Female, Sentinel Lymph Node, Algorithms, Sentinel lymph node, lymph node metastases, Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], Breast Neoplasms, Machine learning, Set (abstract data type), 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, Image Interpretation, Computer-Assisted, medicine, Humans, Electrical and Electronic Engineering, Tumors, business.industry, whole-slide images, Cancer, Confusion matrix, medicine.disease, Test set, Artificial intelligence, business, computer, Lymph node metastases, Software, Kappa

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05a601529cc742865fed64af18995ac2
https://doi.org/10.1109/tmi.2018.2867350

المؤلفون: Nima Maftoon, Morteza Babaie, Arash Ebrahimian, Hamid R. Tizhoosh, Hossein Mohammadi

المصدر: IEEE Access, Vol 8, Pp 197352-197362 (2020)

مصطلحات موضوعية: General Computer Science, Computer science, Feature extraction, 02 engineering and technology, Machine learning, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Medical imaging, General Materials Science, medical image classification, pathology whole-slide images, business.industry, General Engineering, deep learning, Metadata, Statistical classification, 030220 oncology & carcinogenesis, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, computer, Classifier (UML), lcsh:TK1-9971, Medical image search

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b4d3ebe93bb196209be71700db79b7c
https://ieeexplore.ieee.org/document/9238034/

المؤلفون: Shenyan Zhang, Zhenhui Li, Yaxi Zhu, Changhong Liang, Suyun Li, Yanqi Huang, Ke Zhao, Yanting Liang, Chen Liu, Huan Lin, Jinrong Qu, Zaiyi Liu

المصدر: BMC Cancer
BMC Cancer, Vol 21, Iss 1, Pp 1-11 (2021)

مصطلحات موضوعية: Adult, Male, 0301 basic medicine, Cancer Research, medicine.medical_specialty, Multivariate analysis, Whole-slide images, Colorectal cancer, 03 medical and health sciences, 0302 clinical medicine, Tumour-stroma ratio, Surgical oncology, Biopsy, Genetics, medicine, Humans, RC254-282, Locally advanced rectal cancer, Aged, Tumour regression grade, Neoadjuvant chemoradiotherapy response, medicine.diagnostic_test, Rectal Neoplasms, business.industry, Research, fungi, Case-control study, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Chemoradiotherapy, Odds ratio, Middle Aged, medicine.disease, Confidence interval, Treatment Outcome, 030104 developmental biology, Oncology, Case-Control Studies, 030220 oncology & carcinogenesis, Cohort, Radiology, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65df5f56f9ba3f34fe065e996ebd6e1
https://doi.org/10.1186/s12885-021-08516-x

المؤلفون: William Speier, Huihui Ye, Anthony Sisk, W. Dean Wallace, Jiayun Li, Corey W. Arnold, Wenyuan Li

المصدر: Comput Biol Med

مصطلحات موضوعية: 0301 basic medicine, FOS: Computer and information sciences, Male, Prostate biopsy, Computer science, Computer Vision and Pattern Recognition (cs.CV), Biopsy, Image Processing, Computer Science - Computer Vision and Pattern Recognition, Cancer detection, Convolutional neural network, Medical and Health Sciences, 0302 clinical medicine, Computer-Assisted, Engineering, Image Processing, Computer-Assisted, Segmentation, Cancer, medicine.diagnostic_test, Contextual image classification, Multiple instance learning, Image and Video Processing (eess.IV), 3. Good health, Computer Science Applications, Networking and Information Technology R&D (NITRD), Urologic Diseases, Biomedical Engineering, Health Informatics, Bioengineering, Article, 03 medical and health sciences, Multi resolution, Information and Computing Sciences, medicine, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Receiver operating characteristic, business.industry, Whole slide images, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, Image classification prostate cancer, 030104 developmental biology, ROC Curve, Artificial intelligence, Neoplasm Grading, business, 030217 neurology & neurosurgery, Kappa

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf8976c749ca3be3eaa39ec3ced46141
https://escholarship.org/uc/item/47k2z658

المؤلفون: Lutnick, Brendon, Murali, Leema Krishna, Ginley, Brandon, Rosenberg, Avi Z., Sarder, Pinaki

المصدر: Journal of Pathology Informatics, Vol 13, Iss 1, Pp 7-7 (2022)
Journal of Pathology Informatics

مصطلحات موضوعية: FOS: Computer and information sciences, tensorflow, whole slide images, Computer Science - Artificial Intelligence, Image and Video Processing (eess.IV), generative adversarial network, Computer applications to medicine. Medical informatics, R858-859.7, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, convolutional neural network, Health Informatics, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, 030218 nuclear medicine & medical imaging, Computer Science Applications, Pathology and Forensic Medicine, 03 medical and health sciences, Artificial Intelligence (cs.AI), 0302 clinical medicine, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Technical Note, Pathology, RB1-214, 020201 artificial intelligence & image processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::746f22df772f8bd7941e788e110d536c
http://arxiv.org/abs/2102.11433

المؤلفون: Hong Wu, Jiatong Ji, Changjiang Zhou, Yi Jin, Jun Liao, Xiaodong Teng

المصدر: IEEE Access, Vol 7, Pp 54780-54786 (2019)

مصطلحات موضوعية: Service (systems architecture), General Computer Science, Computer science, whole-slide images, General Engineering, Digital imaging, Cancer, Artificial intelligent, medicine.disease, 030218 nuclear medicine & medical imaging, World Wide Web, Metadata, 03 medical and health sciences, ComputingMethodologies_PATTERNRECOGNITION, 0302 clinical medicine, medicine, annotations, General Materials Science, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f4cb3ed35dc3d1c39c56301f32f785e
https://doi.org/10.1109/access.2019.2913255

المؤلفون: Antoine Pirovano, Leandro G. Almeida, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch

المساهمون: Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Learning, Fuzzy and Intelligent systems (LFI), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Département Images, Données, Signal (IDS), Télécom ParisTech

المصدر: Medical Image Analysis
Medical Image Analysis, Elsevier, 2021, 73, pp.102167. ⟨10.1016/j.media.2021.102167⟩

مصطلحات موضوعية: Computer science, Uterine Cervical Neoplasms, Health Informatics, Cervical cancer screening, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Classifier (linguistics), medicine, Humans, Radiology, Nuclear Medicine and imaging, [INFO]Computer Science [cs], Diagnosis, Computer-Assisted, 030212 general & internal medicine, Pap test, Sensitivity (control systems), 0101 mathematics, Early Detection of Cancer, Cervical cancer, Pap smears, Saliency, Radiological and Ultrasound Technology, medicine.diagnostic_test, Computers, business.industry, Weakly supervised learning, 010102 general mathematics, Whole slide images, Pattern recognition, medicine.disease, Classification, Explainability, Computer Graphics and Computer-Aided Design, Regression, 3. Good health, Detection, Computer-aided diagnosis, Localization, Female, Computer Vision and Pattern Recognition, Artificial intelligence, business, Cytology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d4579a5617f6f03b418dc8836d9605
https://hal.telecom-paris.fr/hal-03324485

المؤلفون: Germain Forestier, A. Ben Hamida, Cédric Wemmert, C. Truntzer, V. Derangère, Jonathan Weber, Maxime Devanne, F. Ghiringhelli

المساهمون: Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 (IRIMAS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Plateforme de transfert en biologie cancérologique [Dijon], Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER-Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER, École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), univOAK, Archive ouverte

المصدر: Computers in Biology and Medicine
Computers in Biology and Medicine, Elsevier, 2021, ⟨10.1016/j.compbiomed.2021.104730⟩
Computers in Biology and Medicine, 2021, ⟨10.1016/j.compbiomed.2021.104730⟩

مصطلحات موضوعية: Artificial intelligence, Data, context and interaction, Computer science, Health Informatics, Machine learning, computer.software_genre, Convolutional neural network, Informatique [cs]/Apprentissage [cs.LG], Tumour segmentation, 03 medical and health sciences, Annotation, 0302 clinical medicine, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Image Processing, Computer-Assisted, Humans, Digital pathology, Segmentation, 030304 developmental biology, 0303 health sciences, business.industry, Deep learning, Whole slide images, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Semantic segmentation, Colon cancer, Transfer learning, Computer Science Applications, 030220 oncology & carcinogenesis, Colonic Neoplasms, Neural Networks, Computer, Transfer of learning, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8687c3743e5d43e083089508bd9af01e

المؤلفون: Tony Xu, Ozan Ciga, Anne L. Martel

المصدر: Machine Learning with Applications, Vol 7, Iss, Pp 100198-(2022)

مصطلحات موضوعية: FOS: Computer and information sciences, Boosting (machine learning), Computer science, Computer Vision and Pattern Recognition (cs.CV), media_common.quotation_subject, Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Machine learning, computer.software_genre, Unsupervised learning, 030218 nuclear medicine & medical imaging, Task (project management), Correlation, 03 medical and health sciences, 0302 clinical medicine, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Task Performances, media_common, Digital histopathology, business.industry, Self supervised learning, Image and Video Processing (eess.IV), Whole slide images, QA75.5-76.95, Electrical Engineering and Systems Science - Image and Video Processing, ComputingMethodologies_PATTERNRECOGNITION, Electronic computers. Computer science, Q300-390, Learning methods, 020201 artificial intelligence & image processing, Artificial intelligence, business, Cybernetics, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce78ddd9570c6866e227ea3b9f989494
http://arxiv.org/abs/2011.13971