An effective CNN and Transformer complementary network for medical image segmentation

•We design dual encoding paths of CNN and Transformer encoders for producing complementary features..•We propose an effective feature complementary module by cross-wisely fusing features from CNN and Transformer domains.•We propose to compute the cross-domain correlation between CNN and Transformer...

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Bibliographic Details

Published in:	Pattern recognition Vol. 136; p. 109228
Main Authors:	Yuan, Feiniu, Zhang, Zhengxiao, Fang, Zhijun
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2023
Subjects:	Convolutional Neural Network Cross-domain fusion Feature complementary module Medical image segmentation Transformer Convolutional Neural Network Cross-domain fusion Transformer Feature complementary module Medical image segmentation
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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