Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images.

Published: Mar 7, 2020
Abstract
Prediction of survivability in a patient for tumor progression is useful to estimate the effectiveness of a treatment protocol. In our work, we present a model to take into account the heterogeneous nature of a tumor to predict survival. The tumor heterogeneity is measured in terms of its mass by combining information regarding the radiodensity obtained in images with the gross tumor volume (GTV). We propose a novel feature called Tumor Mass...
Paper Details
Title
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images.
Published Date
Mar 7, 2020
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