Table 2 Description of a mammography image database.
From: Intelligent breast cancer diagnosis with two-stage using mammogram images
S. No. | Database name | Image description | Available website |
|---|---|---|---|
1 | MIAS Mammography | Images and labels for mammography scans make up the database. This dataset consists of seven labels: reference number, background tissue’s characteristics, abnormality class, condition of abnormality, image coordinates, and radius of abnormality. It contains 1,679 images with labels. The images provided in this database are of size 1024 × 1024 pixels | https://www.kaggle.com/datasets/kmader/mias-mammography access date: 2023-01-11 |
2 | CBIS-DDSM: Breast Cancer Image Dataset | There are 2620 digitized film mammography studies in the DDSM database. It includes instances with certified pathology data for normal, benign, and cancerous conditions. The DDSM is a helpful tool in designing and testing decision support systems due to the size of the database and ground truth checking. A trained radiologist chose and curated a subset of the DDDSM data for the CBIS-DDSM collection. After being decompressed, the images were changed to DICOM format. Together with pathologic diagnosis for training data, updated ROI segmentation and bounding boxes are also given | https://www.kaggle.com/datasets/awsaf49/cbis-ddsm-breast-cancer-image-dataset access date: 2023-03-07 |
