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An attention-based transfer learning framework for breast cancer classification in mammography under limited data conditions

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Breast cancer is a leading cause of death for women worldwide. There is a critical need for an early and accurate diagnosis to improve survival rates. This study evaluates the performance of transfer learning-based MobileNetV2 and ResNet50 architectures for bi... ...