High-Resolution Swin Transformer for Automatic Medical Image Segmentation

High-Resolution Swin Transformer for Automatic Medical Image Segmentation

The resolution of feature maps is a critical factor for accurate medical image segmentation. Most of the existing Transformer-based networks for medical image segmentation adopt a U-Net-like architecture, which contains an encoder that converts the high-resolution input image into low-resolution fea...

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Bibliographic Details
Main Authors: Chen Wei, Shenghan Ren, Kaitai Guo, Haihong Hu, Jimin Liang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
Transformer
Swin Transformer
self-attention
medical image segmentation
Online Access:https://www.mdpi.com/1424-8220/23/7/3420

Internet

https://www.mdpi.com/1424-8220/23/7/3420

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