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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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
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Article
Acesso em linha: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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