Texture analysis and classification of medical images based on deep learning methods

Abstract

Different approaches to the classification of histological images of three different classes were experimentally investigated: metastasis-affected lymphoid tissue region, healthy lymphoid tissue region, and lymph node capsule. The paper investigated what quality of classification can be achieved by using only the classical approaches of texture feature extraction proposed by Haralick in 1970, then using neural networks and finally by combining both approaches