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Breast Cancer Detection and Localization Using MobileNet Based Transfer Learning for Mammograms,reast cancer detection and further classify mass into malignant and benign. It requires less memory space and provides faster computations with 86.8% and 74.5% accurate results for DDSM and CBIS-DDSM, respectively. We have achieved better results than other deep CNN models such as AlexNet, VGG16, GoogleNet, and ResNet.大量 发表于 2025-3-29 18:40:07
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