Multiresolution Aggregation Transformer UNet Based on Multiscale Input and Coordinate Attention for Medical Image Segmentation

Multiresolution Aggregation Transformer UNet Based on Multiscale Input and Coordinate Attention for Medical Image Segmentation

The latest medical image segmentation methods uses UNet and transformer structures with great success. Multiscale feature fusion is one of the important factors affecting the accuracy of medical image segmentation. Existing transformer-based UNet methods do not comprehensively explore multiscale fea...

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Bibliographic Details
Main Authors: Shaolong Chen, Changzhen Qiu, Weiping Yang, Zhiyong Zhang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
transformer
UNet
medical image segmentation
multiscale input
coordinate attention
Online Access:https://www.mdpi.com/1424-8220/22/10/3820

Internet

https://www.mdpi.com/1424-8220/22/10/3820

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