Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI

BACKGROUND: Time-efficient and accurate whole volume thigh muscle segmentation is a major challenge in moving from qualitative assessment of thigh muscle MRI to more quantitative methods. This study developed an automated whole thigh muscle segmentation method using deep learning for reproducible fa...

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Detalles Bibliográficos
Autores principales: Ding, Jie, Cao, Peng, Chang, Hing-Chiu, Gao, Yuan, Chan, Sophelia Hoi Shan, Vardhanabhuti, Varut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704819/
https://www.ncbi.nlm.nih.gov/pubmed/33252711
http://dx.doi.org/10.1186/s13244-020-00946-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704819/
https://www.ncbi.nlm.nih.gov/pubmed/33252711
http://dx.doi.org/10.1186/s13244-020-00946-8

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