A novel full-convolution UNet-transformer for medical image segmentation-Reference-Cited by-同舟云学术

A novel full-convolution UNet-transformer for medical image segmentation

Published:2024-03 Issue: Volume:89 Page:105772
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhu Tianyou,Ding Derui^ORCID,Wang Feng,Liang Wei,Wang Bo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference50 articles.

1. Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution;Wang;Biomed. Signal Process. Control,2022

2. Deep common spatial pattern based motor imagery classification with improved objective function;Yu;Int. J. Network Dyn. Intelligence,2022

3. M. Wei, M. Huang, J. Ni, Cross-subject EEG channel selection method for lower limb brain-computer interface, Int. J. Network Dynamics and Intelligence, 3(2023) 99-110.

4. Recent advances and clinical applications of deep learning in medical image analysis;Chen;Med. Image Anal.,2022

5. Improved computer-aided diagnosis system for nonerosive reflux disease using contrastive self-supervised learning with transfer learning;Liao;Int. J. Network Dynamics and Intelligence,2023

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