A Deep Learning Approach for Automated Breast Cancer Detection
Developed a deep learning-based breast cancer detection system using CBIS-DDSM mammogram images. Implemented preprocessing (ROI extraction), applied transfer learning with ResNet50, MobileNet, and VGG16, and achieved high classification accuracy (~97%), demonstrating effectiveness for computer-aided diagnosis.
Authors
- Nikhil Sharma (ORCID: https://orcid.org/0000-0003-4751-2970)
- Shivam Jakhar
- Leela Ranganayagi K
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-26
- DOI
- https://doi.org/10.5281/zenodo.19240053
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00