Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

OBJECTIVE: To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with laboratory and pulmonary findings. METHODS...

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Detalles Bibliográficos
Autores principales: Wang, Fengdan, Zhou, Shuang, Hou, Bo, Santini, Francesco, Yuan, Ling, Guo, Ye, Zhu, Jinxia, Hilbert, Tom, Kober, Tobias, Zhang, Yan, Wang, Qian, Zhao, Yan, Jin, Zhengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672653/
https://www.ncbi.nlm.nih.gov/pubmed/36396791
http://dx.doi.org/10.1007/s00330-022-09254-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672653/
https://www.ncbi.nlm.nih.gov/pubmed/36396791
http://dx.doi.org/10.1007/s00330-022-09254-9

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