On the Feasibility of Predicting Radiological Observations from Computational Imaging Features of Liver Lesions in CT Scans

Abstract

We aim to predict radiological observations using computationally-derived imaging features extracted from CT images. Our dataset consists of 79 portal venous phase liver CT images containing lesions identified and annotated by a radiologist using a controlled vocabulary of 76 semantic terms. Computationally-derived features were extracted describing… (More)
DOI: 10.1109/HISB.2011.37

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