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arXiv · 1911.06216

Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs

Jeremiah W. Johnson
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Abstract

Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers. The detection of IDC is a necessary preprocessing step in determining the aggressiveness of the cancer, determining treatment protocols, and predicting patient outcomes, and is usually performed manually by an expert pathologist. Here, we describe a novel algorithm for automatically detecting IDC using semi-supervised conditional generative adversarial networks (cGANs). The framework is simple and effective at improving scores on a range of metrics over a baseline CNN.

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Jeremiah W. Johnson. 2019-11-14. Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs. https://doi.org/10.1007/978-3-030-63092-8

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