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This report presents a deep learning-based approach for breast cancer classification using a convolutional neural network (CNN). The methodology includes data pre-processing, data augmentation, data splitting, and the architectures of CNN and Transfer Learning model with VGG16, ResNet50V2 base.
rohith200378/Breast_cancer_classification
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This report presents a deep learning-based approach for breast cancer classification using a convolutional neural network (CNN). The methodology includes data pre-processing, data augmentation, data splitting, and the architectures of CNN and Transfer Learning model with VGG16, ResNet50V2 base.
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