Predicting prognosis of resected hepatocellular carcinoma by radiomics analysis with random survival forest

Volume: 99, Issue: 10, Pages: 643 - 651
Published: Oct 1, 2018
Abstract
To investigate the impact of random survival forest (RSF) classifier trained by radiomics features over the prediction of the overall survival of patients with resectable hepatocellular carcinoma (HCC).The dynamic computed tomography data of 127 patients (97 men, 30 women; mean age, 68 years) newly diagnosed with resectable HCC were retrospectively analyzed. After manually setting the region of interest to include the tumor within the slice at...
Paper Details
Title
Predicting prognosis of resected hepatocellular carcinoma by radiomics analysis with random survival forest
Published Date
Oct 1, 2018
Volume
99
Issue
10
Pages
643 - 651
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