12 datasets found

A comprehensive analysis of mammogram images to develop an enhanced understanding of different risk categories associated with breast cancer.

A dataset of full-field digital mammography (FFDM) images acquired from 354 women.

A dataset of full-field digital mammography (FFDM) images acquired from 479 patients.

A dataset of full-field digital mammography (FFDM) images acquired from 949 patients.

A dataset of full-field digital mammography (FFDM) images acquired from 116,000 women.

Mammogram classification is directly related to computer-aided di-agnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to...

The CBIS-DDSM dataset consists of scanned film mammograms with regions of interest (ROIs) of lesions identified on mammograms.

The FFDM dataset is a full-field digital mammography dataset used for training and testing the proposed method.

The DDSM dataset is a public mammogram dataset used for training and testing the proposed method.

A deep learning approach for breast cancer detection on screening mammography.

The NYU Breast Cancer Screening Dataset contains high-resolution screening mammography with small lesions, serving as a representative dataset for the characteristics of medical...

A mammographic image analysis society (mias) database v1.21