A deep learning framework for automated detection and quantitative assessment of liver trauma

被引：0
作者：
Negar Farzaneh
Erica B. Stein
Reza Soroushmehr
Jonathan Gryak
Kayvan Najarian
机构：
[1] University of Michigan,Department of Computational Medicine and Bioinformatics
[2] University of Michigan,The Max Harry Weil Institute for Critical Care Research & Innovation
[3] Michigan Medicine,Department of Radiology
[4] University of Michigan,Michigan Institute for Data Science (MIDAS)
[5] University of Michigan,Department of Emergency Medicine
[6] University of Michigan,Department of Electrical Engineering and Computer Science
来源：
BMC Medical Imaging | / 22卷
关键词：
Deep learning; CT image processing; Liver trauma; Liver disruption involvement; Hematoma segmentation; Liver segmentation;
D O I：
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学科分类号：
摘要：
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