A Deep Learning Approach for Automated Breast Cancer Detection
Year: 2026
Type: conference-paper
Abstract: 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: Jakhar, Shivam, Sharma, Nikhil, Ranganayagi K, Leela
Institution: SRM Institute of Science and Technology
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140466289
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