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Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.

, , , , , and . CoRR, (2023)

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Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning., , , , , and . CoRR, (2023)Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning., , , , , and . CoRR, (2023)Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review., , , , , , , and . CoRR, (2023)Mitosis domain generalization in histopathology images - The MIDOG challenge., , , , , , , , , and 25 other author(s). CoRR, (2022)Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images., , , , and . CoRR, (2021)Generative Adversarial Networks for Stain Normalisation in Histopathology., , , , and . CoRR, (2023)Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images., , , and . MIDOG/MOOD/Learn2Reg@MICCAI, volume 13166 of Lecture Notes in Computer Science, page 14-22. Springer, (2021)Mitosis domain generalization in histopathology images - The MIDOG challenge., , , , , , , , , and 31 other author(s). Medical Image Anal., (2023)