Diagnosis of endometrium hyperplasia and screening of endometrial intraepithelial neoplasia in histopathological images using a global-to-local multi-scale convolutional neural network

•Diagnosing different endometrial hyperplasia is crucial for the health of females.•Computer-aided-diagnosis with deep learning shows potential for lesion diagnosis.•A multi-scale network combines global and local features from histological images.•Features are extracted from two parallel networks and fused by attention modules.•Proposed model is promising in identifying endometrial intraepithelial neoplasia.