MammoAI is a breakthrough AI-powered system designed to revolutionize breast cancer screening through fully automated mammographic image analysis. Developed using the state-of-the-art Auto-Sklearn AutoML framework, MammoAI integrates advanced image enhancement, tumor segmentation, and optimized machine learning pipelines to classify breast tumors with high precision. This product addresses the critical need for consistent, scalable, and accurate diagnostic tools, particularly in regions with limited radiological expertise. The innovation combines Contrast Limited Adaptive Histogram Equalization (CLAHE) and Active Contour Method (ACM) for robust tumor delineation, followed by extraction of 37 key radiomic features. These are then processed through MammoAI’s smart ensemble learning engine, achieving 76.16% test accuracy and 0.86 AUC after optimization. Designed with scalability, speed, and minimal user input in mind, MammoAI holds strong commercialization potential as a clinical decision support system that augments radiologist workflow, reduces diagnostic delays, and enhances early detection outcomes.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Awang@ Ismail, Faikah UNSPECIFIED Abdul Karim, Muhammad Khalis UNSPECIFIED Awang Kechik, Mohd Mustafa UNSPECIFIED Kamal, Izdihar UNSPECIFIED Zaidon, Siti Izzatul Akma UNSPECIFIED Abdulwahid Noor, Katham UNSPECIFIED |
| Subjects: | A General Works > Academies and learned societies (General) T Technology > T Technology (General) > Industrial research. Research and development T Technology > T Technology (General) > Information technology. Information systems |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
| Page Range: | pp. 210-213 |
| Keywords: | Mammography, breast cancer, radiomics, AutoML, Auto-Sklearn |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/146033 |
146033.pdf
