Artificial intelligence-based diagnosis of breast cancer by mammography microcalcification.

ABSTRACT: Mammography is the mainstream imaging modality used for breast cancer screening. Identification of microcalcifications associated with malignancy may result in early diagnosis of breast cancer and aid in reducing the morbidity and mortality associated with the disease. Computer-aided diagnosis (CAD) is a promising technique due to its efficiency and accuracy. Here, we demonstrated that an automated deep-learning pipeline for microcalcification detection and classification on mammography can facilitate early diagnosis of breast cancer. This technique can not only provide the classification results of mammography, but also annotate specific calcification regions. A large mammography dataset was collected, including 4,810 mammograms with 6,663 microcalcification lesions based on biopsy result

SUBMITTER: Lin Q 

PROVIDER: S-EPMC11997558 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature