UCFilTransNet: Cross-Filtering Transformer-based network for CT image segmentation-Reference-Cited by-同舟云学术

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UCFilTransNet: Cross-Filtering Transformer-based network for CT image segmentation

Published:2024-03 Issue: Volume:238 Page:121717
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Li^ORCID,Liu Qiyuan,Shi Xinyi^ORCID,Wei Yujia,Li Huanqi,Xiao Hanguang^ORCID

Funder

Natural Science Foundation of Chongqing Municipality

Chongqing Graduate Student Research Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference50 articles.

1. A guided tour of the fast Fourier transform;Bergland;IEEE Spectrum,1969

2. Swin-unet: Unet-like pure transformer for medical image segmentation;Cao,2022

3. Transclaw u-net: Claw u-net with transformers for medical image segmentation;Chang,2021

4. Transattunet: Multi-level attention-guided U-Net with transformer for medical image segmentation;Chen,2021

5. Transunet: Transformers make strong encoders for medical image segmentation;Chen,2021

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4. Real-time coronary artery segmentation in CAG images: A semi-supervised deep learning strategy;Artificial Intelligence in Medicine;2024-07

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