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Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps.

, , , , , , , and . CVPR Workshops, page 821-827. IEEE Computer Society, (2017)

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Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence., , , and . BIBM, page 993-998. IEEE Computer Society, (2018)Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records., , , , and . AMIA, AMIA, (2018)Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification., , , , , , , , , and 3 other author(s). WACV, page 2472-2482. IEEE, (2021)Difficulty Translation in Histopathology Images., , , , , , , and . AIME, volume 12299 of Lecture Notes in Computer Science, page 238-248. Springer, (2020)Generative Image Translation for Data Augmentation in Colorectal Histopathology Images., , , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 10-24. PMLR, (2019)Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images., , , , , and . CoRR, (2018)Resolution-based distillation for efficient histology image classification., , , , and . Artif. Intell. Medicine, (2021)MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images., , and . Comput. Biol. Medicine, (May 2023)A Petri Dish for Histopathology Image Analysis., , , , , , , , , and 2 other author(s). AIME, volume 12721 of Lecture Notes in Computer Science, page 11-24. Springer, (2021)Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps., , , , , , , and . CVPR Workshops, page 821-827. IEEE Computer Society, (2017)