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Lightweight U-Net for High-Resolution Breast Imaging
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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.
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.
