VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

Breast cancer is one of the most prevalent types of cancer and the leading
type of cancer death. Mammography is the recommended imaging modality for
periodic breast cancer screening. A few datasets have been published to
develop computer-aided tools for mammography analysis. However, these datasets
either have a limited sample size or consist of screen-film mammography (SFM),
which have been replaced by full-field digital mammography (FFDM) in clinical
practices. This project introduces a large-scale full-field digital
mammography dataset of 5,000 four-view exams, which are double read by
experienced mammographers to provide cancer assessment and breast density
following the Breast Imaging Report and Data System (BI-RADS). Breast
abnormalities that require further examination are also marked by bounding
rectangles.