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Navid Alemi Kooohbanani

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Multi-Task Learning in Histo-pathology for Widely Generalizable Model

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May 09, 2020
Jevgenij Gamper, Navid Alemi Kooohbanani, Nasir Rajpoot

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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.

* AI4CC ICLR 2020 workshop  
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