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Performance of Machine Learning Classification in Mammography Images Using BI...
A comprehensive analysis of mammogram images to develop an enhanced understanding of different risk categories associated with breast cancer. -
The EMory BrEast imaging Dataset (EMBED)
A dataset of full-field digital mammography (FFDM) images acquired from 354 women. -
A curated mammography data set for use in computer-aided detection and diagno...
A dataset of full-field digital mammography (FFDM) images acquired from 479 patients. -
THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY
A dataset of full-field digital mammography (FFDM) images acquired from 949 patients. -
EMBED (Jeong et al., 2023)
A dataset of full-field digital mammography (FFDM) images acquired from 116,000 women. -
INbreast dataset
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...
