Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomography

As sarcopenia research has been gaining emphasis, the need for quantification of abdominal muscle on computed tomography (CT) is increasing. Thus, a fully automated system to select L3 slice and segment muscle in an end-to-end manner is demanded. We aimed to develop a deep learning model (DLM) to se...

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Detalles Bibliográficos
Autores principales: Ha, Jiyeon, Park, Taeyong, Kim, Hong-Kyu, Shin, Youngbin, Ko, Yousun, Kim, Dong Wook, Sung, Yu Sub, Lee, Jiwoo, Ham, Su Jung, Khang, Seungwoo, Jeong, Heeryeol, Koo, Kyoyeong, Lee, Jeongjin, Kim, Kyung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568923/
https://www.ncbi.nlm.nih.gov/pubmed/34737340
http://dx.doi.org/10.1038/s41598-021-00161-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568923/
https://www.ncbi.nlm.nih.gov/pubmed/34737340
http://dx.doi.org/10.1038/s41598-021-00161-5

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