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Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features., , , , , , and . Medical Image Anal., (2019)Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring., and . IEEE Trans. Medical Imaging, 38 (11): 2620-2631 (2019)Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning., , , , , , , , , and 5 other author(s). MIDL, volume 227 of Proceedings of Machine Learning Research, page 479-495. PMLR, (2023)Classification of lung cancer histology images using patch-level summary statistics., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058119. SPIE, (2018)Methods for Segmentation and Classification of Digital Microscopy Tissue Images., , , , , , , , , and 4 other author(s). CoRR, (2018)Classification of COVID-19 via Homology of CT-SCAN., , , , and . CoRR, (2021)Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images., , , and . Medical Image Anal., (January 2024)Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification., , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 398-409. Springer, (2017)Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features., , , , , , and . CoRR, (2018)Nucleus classification in histology images using message passing network., , , , , and . Medical Image Anal., (2022)