Breast Cancer Histopathology Images Classification Through Multi-View Augmented Contrastive Learning and Pre-Learning Knowledge Distillation
Jialong Si,
Wei Jia,
Haifeng Jiang
Abstract:Breast cancer is one of the most common malignant tumors in women, and accurate classification of benign and malignant breast cancer histopathology images is critical for diagnosis and treatment. Knowledge distillation techniques have recently received considerable attention for enabling cost-effective image classification of breast cancer histopathology images. However, there are still challenges, including the inefficient extraction of global and local features from breast cancer histopathology images by the… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.