Double Transfer Learning for Breast Cancer Histopathologic Image Classification

16 Apr 2019Jonathan de MatosAlceu de S. Britto Jr.Luiz E. S. OliveiraAlessandro L. Koerich

This work proposes a classification approach for breast cancer histopathologic images (HI) that uses transfer learning to extract features from HI using an Inception-v3 CNN pre-trained with ImageNet dataset. We also use transfer learning on training a support vector machine (SVM) classifier on a tissue labeled colorectal cancer dataset aiming to filter the patches from a breast cancer HI and remove the irrelevant ones... (read more)

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