Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma

Published: Jul 1, 2020
Abstract
Hepatocellular carcinoma (HCC) is the sixth more frequent cancer worldwide. This type of cancer has a poor overall survival rate mainly due to underlying cirrhosis and risk of recurrence outside the treated lesion. Quantitative imaging within a radiomics workflow may help assessing the probability of survival and potentially may allow tailoring personalized treatments. In radiomics a large amount of features can be extracted, which may be...
Paper Details
Title
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma
Published Date
Jul 1, 2020
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