Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation-Reference-Cited by-同舟云学术

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Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Chen Bingzhi¹^ORCID,Huang Xiaolin¹^ORCID,Liu Yishu²^ORCID,Zhang Zheng²^ORCID,Lu Guangming²^ORCID,Zhou Zheng³^ORCID,Pan Jiahui¹^ORCID

Affiliation:

1. School of Software, South China Normal University, Foshan, Guangdong, China

2. Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, China

3. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong University Young Innovative Talents Program Project

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong International Science and Technology Cooperation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10540384.pdf?arnumber=10540384

Reference63 articles.

1. Attentive Boundary-Aware Fusion for Defect Semantic Segmentation Using Transformer

2. DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

3. CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning

4. Deep Residual Learning for Image Recognition

5. Densely Connected Convolutional Networks

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