يعرض 1 - 10 نتائج من 26 نتيجة بحث عن '"Whole slide images"', وقت الاستعلام: 1.03s تنقيح النتائج
  1. 1
    Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?

    المؤلفون: Nicolas Loménie, Capucine Bertrand, Rutger H.J. Fick, Saima Ben Hadj, Brice Tayart, Cyprien Tilmant, Isabelle Farré, Soufiane Z. Azdad, Samy Dahmani, Gilles Dequen, Ming Feng, Kele Xu, Zimu Li, Sophie Prevot, Christine Bergeron, Guillaume Bataillon, Mojgan Devouassoux-Shisheboran, Claire Glaser, Agathe Delaune, Séverine Valmary-Degano, Philippe Bertheau

    المساهمون: Laboratoire d'Informatique Paris Descartes (LIPADE (URP_2517)), Université Paris Cité (UPCité), Morphologie et Images (MORPHEME), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut de Biologie Valrose (IBV), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Signal, Images et Systèmes (Laboratoire I3S - SIS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Modélisation, Information et Systèmes - UR UPJV 4290 (MIS), Université de Picardie Jules Verne (UPJV), CSIRO Indian Ocean Marine Research Centre [Australia], The University of Western Australia (UWA), Centre for Southern Hemisphere Oceans Research, Hobart, Tasmania, Australia, Institut Langevin - Ondes et Images (UMR7587) (IL), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Yangtze Delta Region Institute of Tsinghua University [Zhejiang], AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Laboratoire CERBA [Saint Ouen l'Aumône], Institut Curie [Paris], Hospices Civils de Lyon (HCL), Université de Lyon - UDL, GenoSplice [Paris], Service d'Anatomie pathologique [CHRU Besançon], Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)

    المصدر: Journal of Pathology Informatics
    Journal of Pathology Informatics, 2022, 13, pp.100149. ⟨10.1016/j.jpi.2022.100149⟩

    مصطلحات موضوعية: Artificial intelligence, [SDV]Life Sciences [q-bio], Data challenge, Uterine cervix, Whole slide images, Health Informatics, Computer Science Applications, Pathology and Forensic Medicine, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6d4e815778778c642fccc2673169242
    https://pubmed.ncbi.nlm.nih.gov/36605109

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  2. 2
    Testing of Actual Scanner Performance in a High-loaded UNIM Laboratory Environment

    المؤلفون: Untesco Maksim Ivanovich, Genis Mikhail Yurevich, Zhakota Dmitrii Anatolevich, Remez Alexey Igorevich

    المصدر: Journal of Pathology Informatics
    Journal of Pathology Informatics, Vol 12, Iss 1, Pp 39-39 (2021)

    مصطلحات موضوعية: Scanner, Computer science, Computer applications to medicine. Medical informatics, R858-859.7, Routine laboratory, Digital pathology, Health Informatics, high-throughput scanner, Computer Science Applications, Pathology and Forensic Medicine, Whole Slide Images in Pathology, Workflow, Glass slide, Pathology, Pathology laboratory, RB1-214, Original Article, scanning speed, Simulation

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80c0b926909b00f8afdd9cd48104fd0
    http://europepmc.org/articles/PMC8609284

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  3. 3
    A multi-resolution model for histopathology image classification and localization with multiple instance learning

    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

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  4. 4
    Programmed Cell Death Ligand 1 Pathologist Training in the Time of COVID-19: Our Experience using a Digital Solution

    المؤلفون: Joseph M Herndon, Ehab A ElGabry, James C Campion, Dorothy Hayden, Bryan K Roland, Janine D Feng, Jessica L Baumann, Fangru Lian

    المصدر: Journal of Pathology Informatics
    Journal of Pathology Informatics, Vol 12, Iss 1, Pp 47-47 (2021)

    مصطلحات موضوعية: Pathology, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), whole slide images, Computer science, Computer applications to medicine. Medical informatics, education, R858-859.7, diagnostic, Health Informatics, Certification, Pathology and Forensic Medicine, Programmed cell death ligand 1, medicine, Technical Note, RB1-214, COVID, training, Digital pathology, programmed cell death ligand 1, Pass rate, Training methods, Computer Science Applications, Early results, Learning Management, digital pathology

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2b1748a55f9b308b663d8276e1a6dd
    https://pubmed.ncbi.nlm.nih.gov/34934522

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  5. 5
    Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

    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

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  6. 6
    Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier

    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

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  7. 7
    Deep learning for colon cancer histopathological images analysis

    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

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  8. 8
    Improving Algorithm for the Alignment of Consecutive, Whole-Slide, Immunohistochemical Section Images

    المؤلفون: Cher-Wei Liang, Chiao-Min Chen, Pei-Wei Fang, Ruey-Feng Chang

    المصدر: Journal of Pathology Informatics, Vol 12, Iss 1, Pp 29-29 (2021)
    Journal of Pathology Informatics

    مصطلحات موضوعية: Computer science, Computer applications to medicine. Medical informatics, R858-859.7, Magnification, Image registration, Health Informatics, three-dimensional tissue reconstruction, Standard deviation, Pathology and Forensic Medicine, Section (fiber bundle), Pathology, RB1-214, Segmentation, Computer vision, proteome topology, Pixel, business.industry, whole-slide images, Computer Science Applications, image registration, Hausdorff distance, cell-level resolution, multidimensional graph-based registration, immunohistochemistry, Graph (abstract data type), Artificial intelligence, business, Research Article

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcf1bf7208ceaeb7289a3aae78b8c3c7
    https://pubmed.ncbi.nlm.nih.gov/34476109

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  9. 9
    Annotations, Ontologies, and Whole Slide Images – Development of an Annotated Ontology-Driven Whole Slide Image Library of Normal and Abnormal Human Tissue

    المؤلفون: Claes Lundström, Jerómino F Rose, Darren Treanor, Karin Lindman, Martin Lindvall

    المصدر: Journal of Pathology Informatics
    Journal of Pathology Informatics, Vol 10, Iss 1, Pp 22-22 (2019)

    مصطلحات موضوعية: whole slide images, Computer science, Annotation, Health Informatics, Artifact (software development), Ontology (information science), lcsh:Computer applications to medicine. Medical informatics, computer.software_genre, 030218 nuclear medicine & medical imaging, Pathology and Forensic Medicine, Terminology, Open Biomedical Ontologies, 03 medical and health sciences, 0302 clinical medicine, Controlled vocabulary, lcsh:Pathology, ontology, SNOMED CT, business.industry, Digital pathology, Computer Science Applications, 030220 oncology & carcinogenesis, lcsh:R858-859.7, Artificial intelligence, Radiologi och bildbehandling, business, digital pathology, computer, Natural language processing, image database, lcsh:RB1-214, Radiology, Nuclear Medicine and Medical Imaging, Research Article

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b8622e6a3552a34b7511579155acc4
    http://europepmc.org/articles/PMC6669998

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  10. 10
    ImageBox 2 – Efficient and rapid access of image tiles from whole-slide images using serverless HTTP range requests

    المؤلفون: Jonas S. Almeida, Joel H. Saltz, Erich Bremer

    المصدر: Journal of Pathology Informatics, Vol 11, Iss 1, Pp 29-29 (2020)
    Journal of Pathology Informatics

    مصطلحات موضوعية: Computer science, digital imaging, serverless cloud computing, Health Informatics, Cloud computing, Client, computer.software_genre, lcsh:Computer applications to medicine. Medical informatics, Pathology and Forensic Medicine, Megabyte, Server, lcsh:Pathology, Software system, business.industry, Digital imaging, whole-slide images, Computer Science Applications, world wide web, web services, lcsh:R858-859.7, Original Article, Data as a service, Web service, business, computer, Computer network, lcsh:RB1-214

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b5f25586a45424dafd44dafc51d268
    http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=29;epage=29;aulast=Bremer

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