Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

29 May 2020Eric WuKevin WuWilliam Lotter

Data scarcity and class imbalance are two fundamental challenges in many machine learning applications to healthcare. Breast cancer classification in mammography exemplifies these challenges, with a malignancy rate of around 0.5% in a screening population, which is compounded by the relatively small size of lesions (~1% of the image) in malignant cases... (read more)

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