Abstract: This research paper compares deep learning models through the imaging tasks of medical imaging. Modern-age architectures such as CNNs i.e., AlexNet, VGG, Resnet, Densensnet, and U-Net are ...
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Abstract: Deep residual algorithms succeeded wildly in different computer vision problems (e.g., Image Super resolution). Deep neuraenablersraredesign and residual learning are great enablers that ...