The multimodal brain tumor image segmentation benchmark (BRATS)

• Verfasst von: Menze, Bjoern Holger [VerfasserIn]
• Titel: The multimodal brain tumor image segmentation benchmark (BRATS)
• Mitwirkende: Weber, Marc-André [VerfasserIn]
• Verf.angabe: Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Hervé Delingette, Çağatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José António Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gabor Szekely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen Van Leemput
• Umfang: 32 S.
• Fussnoten: Gesehen am 29.11.2016
• Titel Quelle: Enthalten in: Institute of Electrical and Electronics Engineers: IEEE transactions on medical imaging
• Jahr Quelle: 2015
• Band/Heft Quelle: 34(2015), 10, S. 1993-2024
• ISSN Quelle: 1558-254X
• DOI: doi:10.1109/TMI.2014.2377694
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1550359614