Literature DB >> 32001163

Fully-automated Segmentation of Muscle Measurement on CT in Detecting Central Sarcopenia: A Trend of Standardization.

Qian Dong1.   

Abstract

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Mesh：

Year:  2020        PMID： 32001163     DOI： 10.1016/j.acra.2019.12.003

Source DB:  PubMed          Journal:  Acad Radiol        ISSN： 1076-6332            Impact factor:   3.173


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  3 in total

1.  The Utility of Psoas Muscle Assessment in Predicting Frailty in Patients Undergoing Transcatheter Aortic Valve Replacement.

Authors:  Louis Koizia; Mitesh Naik; George Peck; Ghada W Mikhail; Sayan Sen; Iqbal S Malik; Ben Ariff; Michael B Fertleman
Journal:  Curr Gerontol Geriatr Res       Date:  2020-06-28

Review 2.  The Value of Artificial Intelligence-Assisted Imaging in Identifying Diagnostic Markers of Sarcopenia in Patients with Cancer.

Authors:  Ying-Tzu Huang; Yi-Shan Tsai; Peng-Chan Lin; Yu-Min Yeh; Ya-Ting Hsu; Pei-Ying Wu; Meng-Ru Shen
Journal:  Dis Markers       Date:  2022-03-29       Impact factor: 3.434

3.  Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques: Case Study in Tijuana Baja California, Mexico.

Authors:  Cristián Castillo-Olea; Begonya Garcia-Zapirain Soto; Clemente Zuñiga
Journal:  Int J Environ Res Public Health       Date:  2020-03-15       Impact factor: 3.390
  3 in total

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