Comparative analysis of convolutional neural network frameworks for efficient classification of calcification patches in Digital Breast Tomosynthesis images / Nurhazwani Mohamad Fozi
Breast cancer is the most common and rapidly spreading disease worldwide. Early detection significantly reduces fatality rates, motivating the development of deep learning algorithms for medical imaging analysis. Calcifications are the most important subject in early stages of breast cancer detectio...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/117970/1/117970.pdf https://ir.uitm.edu.my/id/eprint/117970/ |
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