DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

Automatic medical image segmentation has made great progress owing to powerful deep representation learning. Inspired by the success of self-attention mechanism in transformer, considerable efforts are devoted to designing the robust variants of the encoder-decoder architecture with transformer. How...

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Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement Vol. 71; pp. 1 - 15
Main Authors:	Lin, Ailiang, Chen, Bingzhi, Xu, Jiayu, Zhang, Zheng, Lu, Guangming, Zhang, David
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coders Computer architecture Data integration Decoding Feature extraction Hierarchical swin transformer Image enhancement Image quality Image segmentation long-range contextual information Medical diagnostic imaging medical image segmentation Medical imaging Representations Semantic segmentation Semantics Task analysis transformer interactive fusion~(TIF) module Transformers
ISSN:	0018-9456, 1557-9662
Online Access:	Get full text
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