Papers matching “whole slide image classification” 42
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Benchmarking Pathology Feature Extractors for Whole Slide Image Classification2023 St Andrews Research Repository (St Andrews Research Repository) conference-paper Computer Science AI in cancer detection Open access
Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys Itzell Carrero, +3 more
7citations -
Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
3citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Deep Learning–Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study2024 Journal of Investigative Dermatology article Computer Science AI in cancer detection Open access
Thom Doeleman, Siemen Brussee, Liesbeth M. Hondelink, Daniëlle W F Westerbeek, Ana Sequeira, P. Valkema, +8 more
7citations -
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome2020 IEEE Journal of Biomedical and Health Informatics article Computer Science AI in cancer detection cited by 1 patent
Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Ruud Vlutters, David Halter, Peter J.K. Kuppen, +2 more
32citations -
State of the Art Cell Detection in Bone Marrow Whole Slide Images2021 Journal of Pathology Informatics article Computer Science Digital Imaging for Blood Diseases Open access
Philipp Gräbel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, +2 more
7citations