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Sharp U-Net: Depthwise convolutional network for biomedical image segmentation

Author(s): Zunair H; Ben Hamza A;

The U-Net architecture, built upon the fully convolutional network, has proven to be effective in biomedical image segmentation. However, U-Net applies skip connections to merge semantically different low- and high-level convolutional features, resulting in not only blurred feature maps, but also over- and under-segmented target regions. To address these ...

Article GUID: 34348214


Melanoma detection using adversarial training and deep transfer learning.

Author(s): Zunair H, Ben Hamza A

Phys Med Biol. 2020 Apr 06;: Authors: Zunair H, Ben Hamza A

Article GUID: 32252036


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