METHOD AND APPARATUS FOR CLASSIFYING BREAST CANCER HISTOLOGY IMAGE THROUGH AUGMENTED CONVOLUTIONAL NETWORK

摘要

The present invention relates to a method and apparatus for classifying breast cancer histology image through augmented convolutional network, and more specifically, to a method and apparatus which can accurately classify two main groups of carcinoma and non-carcinoma and four classes of normal tissue, benign lesions, in situ carcinoma and invasive carcinoma and obtains better classification performance despite the limited number of breast cancer samples due to privacy policy and imbalanced training data according thereto by building a deep learning model through training a breast cancer biopsy image stained with hematoxylin and eosin as a multi-scale input image and training a boosting tree classifier with deep features extracted from each of the constructed deep learning models, and then combining the trained boosting tree classifiers to generate a strong classifier.;COPYRIGHT KIPO 2020