BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.

ABSTRACT: Breast cancer is the cancer with the highest incidence of malignant tumors in women, which seriously endangers women's health. With the help of computer vision technology, it has important application value to automatically classify pathological tissue images to assist doctors in rapid and accurate diagnosis. Breast pathological tissue images have complex and diverse characteristics, and the medical data set of breast pathological tissue images is small, which makes it difficult to automatically classify breast pathological tissues. In recent years, most of the researches have focused on the simple binary classification of benign and malignant, which cannot meet the actual needs for classification of pathological tissues. Therefore, based on deep convolutional neural network, model ensembl

SUBMITTER: He Q 

PROVIDER: S-EPMC8274904 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature