Automatic detection of calcifications in breast cancer diagnosis based on machine learning classifiers
Early detection of breast cancer through mammography is vital, with calcifications in mammograms serving as key indicators. Distinguishing between benign and malignant calcifications is essential for accurate diagnosis and treatment. This study aims to develop a Computer-Aided Detection (CAD) system...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2024
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| Online Access: | http://eprints.usm.my/61346/1/Fatina%20Ham%20Yahya%20Ham-E.pdf http://eprints.usm.my/61346/ |
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