Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Computer Methods and Programs in Biomedicine2022Vol. 223, pp. 106951–106951
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Abstract
Our proposed method provides the best average accuracy for binary classification of benign or malignant cancer cases of 99.7%, 97.66%, and 96.94% for ResNet, InceptionV3Net, and ShuffleNet, respectively. Average accuracies for multi-class classification were 97.81%, 96.07%, and 95.79% for ResNet, Inception-V3Net, and ShuffleNet, respectively.
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