Medical Image Segmentation Using Transformer Networks

Medical Image Segmentation Using Transformer Networks

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 output of the preceding layer with convolution operations. The convolution operation enjoys several important properties su...

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Bibliographic Details
Main Authors: Davood Karimi, Haoran Dou, Ali Gholipour
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
medical image segmentation
self-attention
transformer networks
Online Access:https://ieeexplore.ieee.org/document/9729189/

Internet

https://ieeexplore.ieee.org/document/9729189/

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