17 datasets found

The dataset used in this study for domain generalization in deep learning based mass detection in mammography.

Pectoral muscle identification algorithm for MLO view mammograms using ImageJ

The DDSM20 dataset is used for experiments.

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

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

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.

The ADMANI breast mammogram dataset is a large-scale, multi-center, clinically curated, real-world database of annotated digital mammograms and associated non-imaged datasets.

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.

The dataset used for the experiments of the paper "CORE-PERIPHERY PRINCIPLE GUIDED REDISIGN OF SELF-ATTENTION IN TRANSFORMERS"

The Digital Database for Screening Mammography (DDSM) is a database of 2,620 scanned film mammography studies.

The Tommy dataset was originally compiled to determine the efficacy and diagnostic performance of digital breast tomosynthesis (DBT) in comparison to digital mammography.

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