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eess.IV2021
A new smart-cropping pipeline for prostate segmentation using deep learning networks
Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos +4
Prostate segmentation from magnetic resonance imaging (MRI) is a challenging task. In recent years, several network architectures have been proposed to automate this process and al…
eess.IV2019★ 48 cited
3D Reconstruction of Coronary Arteries and Atherosclerotic Plaques based on Computed Tomography Angiography Images
Vassiliki I. Kigka, George Rigas, Antonis Sakellarios +10
The purpose of this study is to present a new semi-automated methodology for three-dimensional (3D) reconstruction of coronary arteries and their plaque morphology using Computed T…