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This study proposes a deep learning approach for early breast cancer detection using the BUSI dataset. Enhanced U-Net models perform tumor segmentation, while InceptionV3 and ResNet50 classify tumors as benign or malignant. The method improves detection accuracy and supports automated clinical diagnosis.
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