A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol

Vitoantonio Bevilacqua,Katarina Elez,Antonio Brunetti,Giovanni Dimauro,Gianpaolo Francesco Trotta,Vito Alberotanza,Arnaldo Scardapane

doi:10.1109/cec.2017.7969527

A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol

Vitoantonio Bevilacqua, Katarina Elez + Show 5 more

https://doi.org/10.1109/cec.2017.7969527

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Publication Date: Jun 1, 2017

Citations: 24

Affiliation: Polytechnic University of Bari, Engineering (Italy), University of Bari Aldo Moro

#Computer Aided Decision #Computed Tomography Slice + Show 8 more

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Abstract

Introduction and objective: Computer Aided Decision (CAD) systems based on Medical Imaging could support radiologists in grading Hepatocellular carcinoma (HCC) by means of Computed Tomography (CT) images, avoiding medical invasive procedures such as biopsies. The identification and characterization of Regions of Interest (ROIs) containing lesions is an important phase allowing an easier classification in two classes of HCCs. Two steps are needed for the detection of lesioned ROIs: a liver isolation in each CT slice and a lesion segmentation.

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