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We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We solve a supervised segmentation task looking for an acceptable compromise between the precision of the network and the computational complexity.
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Lightweight U-Net for High-Resolution Breast Imaging
We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We solve a supervised segmentation task looking for an acceptable compromise between the precision of the network and the computational complexity.