A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment-Reference-Cited by-同舟云学术

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A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment

Published:2023-03 Issue:3 Volume:13 Page:1384-1398
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Shen Hao,He Pin,Ren Ya,Huang Zhengyong,Li Shuluan,Wang Guoshuai,Cong Minghua,Luo Dehong,Shao Dan,Lee Elaine Yuen-Phin,Cui Ruixue,Huo Li,Qin Jing,Liu Jun,Hu Zhanli,Liu Zhou,Zhang Na

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/109519/pdf

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. A Deep Learning Body Compositions Assessment Application with L3 CT Images: Multiple Validations;2024-07-22

4. AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation;Computers in Biology and Medicine;2024-07

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