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

The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental in computer aided processing of data generated by 3D imaging modalities. As manual...

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Veröffentlicht in:Med Image Anal
Hauptverfasser: 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, Kadipaşaogandcaron;lu, 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5153359/
https://ncbi.nlm.nih.gov/pubmed/25113321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2014.07.003
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