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Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation., , , , , , , , , and 3 other author(s). CoRR, (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)Glioma Classification Using Multimodal Radiology and Histology Data., , , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 508-518. Springer, (2020)Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images., , , , , and . COMPAY@MICCAI, volume 156 of Proceedings of Machine Learning Research, page 94-104. PMLR, (2021)Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images., and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 213-221. Springer, (2017)Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation., , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 15-25. Springer, (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)Comparing the performance of various deep networks for binary classification of breast tumours., , , and . IWBI, volume 10718 of SPIE Proceedings, page 1071807. SPIE, (2018)A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms., , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 355-364. Springer, (2017)Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification., , , and . IEEE BigData, page 2423-2432. IEEE, (2018)