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

ABSTRACT: Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) tools have been developed to support physicians and improve the accuracy of interpreting mammography. A number of large-scale mammography datasets from different populations with various associated annotations and clinical data have been introduced to study the potential of learning-based methods in the field of breast radiology. With the aim to develop more robust and more interpretable support systems in breast imaging, we introduce VinDr-Mammo, a Vietnamese dataset of digital mammography with breast-level assessment and extensive lesion-level annotations, enhancing

SUBMITTER: Nguyen HT 

PROVIDER: S-EPMC10182079 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature