Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Warwick University（华威大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
