TaiChiNet: Negative-Positive Cross-Attention Network for Breast Lesion Segmentation in Ultrasound Images-Reference-Cited by-同舟云学术

TaiChiNet: Negative-Positive Cross-Attention Network for Breast Lesion Segmentation in Ultrasound Images

Published:2024-03 Issue:3 Volume:28 Page:1516-1527
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wang Jinting¹^ORCID,Liang Jiafei¹^ORCID,Xiao Yang²^ORCID,Zhou Joey Tianyi³^ORCID,Fang Zhiwen¹^ORCID,Yang Feng¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Southern Medical University, Guangzhou, China

2. National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

3. Centre for Frontier AI Research (CFAR), Research Agency for Science, Technology, and Research (A*STAR), Singapore

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Science and Technology Program of Guangzhou

SERC Central Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10461324/10388392.pdf?arnumber=10388392

Reference52 articles.

1. Breast Cancer Metastasis and Drug Resistance

2. Combined Screening With Ultrasound and Mammography vs Mammography Alone in Women at Elevated Risk of Breast Cancer

3. Detection of Breast Cancer With Addition of Annual Screening Ultrasound or a Single Screening MRI to Mammography in Women With Elevated Breast Cancer Risk

4. Medical breast ultrasound image segmentation by machine learning

5. Global guidance network for breast lesion segmentation in ultrasound images

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