Constrained Deep Weak Supervision for Histopathology Image Segmentation.
IEEE Transactions on Medical Imaging(2017)
摘要
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 weak supervision (DWS); we also propose an effective way to introduce constraints to our neural networks to assist the learning process. The contributions of our algorithm a...
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关键词
Image segmentation,Supervised learning,Biomedical imaging,Cancer,Training,Neural networks,Prediction algorithms
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