Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features

Two common obstacles limiting the performance of data-driven algorithms in digital histopathology classification tasks are the lack of expert annotations and the narrow diversity of datasets. Multi-instance learning (MIL) can address the former challenge for the analysis of whole slide images (WSI),...

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Bibliographic Details
Main Authors: Tam, KH, Soares, MF, Kers, J, Sharples, EJ, Ploeg, RJ, Kaisar, M, Rittscher, J
Format: Journal article
Language:English
Published: Frontiers Media 2024