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Found 3 papers, 1 papers with code
Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)
Development of robust general purpose 3D segmentation frameworks using the latest deep learning techniques is one of the active topics in various bio-medical domains.
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
We compare and contrast its performance with a TL model based on the COCO image set, and subsequently with baseline counterparts.
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
Models fine-tuned from our representation are better able to identify ring galaxies than models fine-tuned from terrestrial images (ImageNet) or trained from scratch.
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