Constrained Deep Weak Supervision for Histopathology Image Segmentation
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DOI: 10.1109/tmi.2017.2724070
Abstract: In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep… read more here.
Keywords: image; weak supervision; histopathology; histopathology image ... See more keywords