Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study-Reference-Cited by-同舟云学术

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

Published:2014-10 Issue:7 Volume:18 Page:1217-1232
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Rudyanto Rina D.,Kerkstra Sjoerd,van Rikxoort Eva M.,Fetita Catalin,Brillet Pierre-Yves,Lefevre Christophe,Xue Wenzhe,Zhu Xiangjun,Liang Jianming,Öksüz İlkay,Ünay Devrim,Kadipaşaogˇlu Kamuran,Estépar Raúl San José,Ross James C.,Washko George R.,Prieto Juan-Carlos,Hoyos Marcela Hernández,Orkisz Maciej,Meine Hans,Hüllebrand Markus,Stöcker Christina,Mir Fernando Lopez,Naranjo Valery,Villanueva Eliseo,Staring Marius,Xiao Changyan,Stoel Berend C.,Fabijanska Anna,Smistad Erik,Elster Anne C.,Lindseth Frank,Foruzan Amir Hossein,Kiros Ryan,Popuri Karteek,Cobzas Dana,Jimenez-Carretero Daniel,Santos Andres,Ledesma-Carbayo Maria J.,Helmberger Michael,Urschler Martin,Pienn Michael,Bosboom Dennis G.H.,Campo Arantza,Prokop Mathias,de Jong Pim A.,Ortiz-de-Solorzano Carlos,Muñoz-Barrutia Arrate,van Ginneken Bram

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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