| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4218073 | Academic Radiology | 2015 | 9 Pages |
Abstract
The CAD system designed using machine-learning algorithms may be used to improve the identification accuracy in the assessment of serosal invasion in patients of gastric cancer with DEsCT imaging and provide some indicators which may be useful in predicting prognosis.
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Authors
Chao PhD, Cen MD, Huan MD, Chun PhD, Kin Man PhD, Su PhD,