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

Author(s):
Rudyanto, R.D.; Kerkstra, S.; Rilowort, E.M. van; Fetita, C.; Brillet, P.Y.; Lefevre, C.; Xue, W.Z.; Zhu, X.J.; Liang, J.M.; Oksuz, I.; Unay, D.; Kadipasoglu, K.; Estepar, R.S.; Ross, J.C.; Washko, G.R.; Prieto, J.C.; Hoyos, M.H.; Orkisz, M.; Meine, H.; Hullebrand, M.; Stocker, C.; Mir, F.L.; Naranjo, V.; Villanueva, E.; Staring, M.; Xiao, C.Y.; Stoel, B.C.; Fabijanska, A.; Smistad, E.; Elster, A.C.; Lindseth, F.; Foruzan, A.H.; Kiros, R.; Popuri, K.; Cobzas, D.; Jimenez-Carretero, D.; Santos, A.; Ledesma-Carbayo, M.J.; Helmberger, M.; Urschler, M.; Pienn, M.; Bosboom, D.G.H.; Campo, A.; Prokop, M.; Jong, P.A. de; Ortiz-de-Solorzano, C.; Munoz-Barrutia, A.; Ginneken, B. van
Published
2014
Publication type
Article / Letter to editor
Thoracic computed tomographyLung vesselsAlgorithm comparisonSegmentationChallenge
Date issued
2014-10-31
Language
English
Is part of
Medical Image Analysis (2014), Vol. 18, no. 7, p. 1217-1232
hdl
1887/103756
doi
10.1016/j.media.2014.07.003