An index based on deep learning–measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis

Objectives Deep learning enables an automated liver and spleen volume measurements on CT. The purpose of this study was to develop an index combining liver and spleen volumes and clinical factors for detecting high-risk varices in B-viral compensated cirrhosis. Methods This retrospective study inclu...

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Veröffentlicht in:European radiology 2021-05, Vol.31 (5), p.3355-3365
Hauptverfasser: Lee, Chul-min, Lee, Seung Soo, Choi, Won-Mook, Kim, Kang Mo, Sung, Yu Sub, Lee, Sunho, Lee, So Jung, Yoon, Jee Seok, Suk, Heung-Il
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Sprache:eng
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