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Medical image segmentation using transformer networks

D Karimi, H Dou, A Gholipour - IEEE Access, 2022 - ieeexplore.ieee.org
Deep learning models represent the state of the art in medical image segmentation. Most of
these models are fully-convolutional networks (FCNs), namely each layer processes the …
被引用次数：38 相关文章

Medical Image Segmentation Using Transformer Networks

D Karimi, H Dou, A Gholipour - IEEE access: practical …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep learning models represent the state of the art in medical image segmentation. Most of
these models are fully-convolutional networks (FCNs), namely each layer processes the …
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[HTML][HTML] Medical Image Segmentation Using Transformer Networks

D KARIMI, H DOU, ALI GHOLIPOUR - IEEE access: practical …, 2022 - ncbi.nlm.nih.gov
Deep learning models represent the state of the art in medical image segmentation. Most of
these models are fully-convolutional networks (FCNs), namely each layer processes the …

Medical Image Segmentation Using Transformer Networks.

D Karimi, H Dou, A Gholipour - IEEE Access: Practical Innovations …, 2022 - europepmc.org
Deep learning models represent the state of the art in medical image segmentation. Most of
these models are fully-convolutional networks (FCNs), namely each layer processes the …

[引用][C] Medical Image Segmentation Using Transformer Networks

D Karimi, H Dou, A Gholipour - IEEE Access, 2022 - ui.adsabs.harvard.edu
Medical Image Segmentation Using Transformer Networks - NASA/ADS Now on home
page ads icon ads Enable full ADS view NASA/ADS Medical Image Segmentation Using …