Article

A Generic Neural Network Approach to Infer Segmenting Classifiers for Disease-Associated Regions in Medical Images

2020-02-29

Abstract excerpt

<h4>A bstract </h4> In many settings in digital pathology or radiology, it is of predominant importance to train classifiers that can segment disease-associated regions in medical images. While numerous deep learning approaches, most notably U-Nets , exist to learn segmentations, these approaches typically require reference segmentations as training data. As a consequence, obtaining pixel level annotations of hist...

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Literature Corpus work: 76abbd24-0820-5b68-8d44-efa07a9be8ff
DOI: 10.1101/2020.02.27.20028845

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