IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images-Reference-Cited by-同舟云学术

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IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images

Published:2023-12-05 Issue: Volume: Page:3954-3961
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Xie Xiaozheng¹,Chen Chen²,Liu Xuefeng³,Wang Yong⁴,Wang Rui¹,Niu Jianwei³

Affiliation:

1. University of Science and Technology Beijing,School of Comp. and Comm. Eng.,Beijing,China

2. Beihang University,Hangzhou Innovation Institute,Hangzhou,China

3. Beihang University Zhongguancun Laboratory,School of Comp. Sci. and Eng.,Beijing,China

4. Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing,China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10386035.pdf?arnumber=10386035

Reference25 articles.

1. AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images

2. SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image

3. Rethinking the unpretentious U-net for medical ultrasound image segmentation

4. CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound

5. Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation

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