Multi-Task Learning in Histo-pathology for Widely Generalizable Model
In this work we show preliminary results of deep multi-task learning in the area of computational pathology. We combine 11 tasks ranging from patch-wise oral cancer classification, one of the most prevalent cancers in the developing world, to multi-tissue nuclei instance segmentation and classification.
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Cancer ClassificationClassificationGeneral ClassificationInstance SegmentationMulti-Task LearningOral Cancer ClassificationSegmentationSemantic SegmentationSimilar Papers 제목 키워드 기반
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