Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

Automatic detection of pulmonary nodules in thoracic computed tomography (CT) scans has been an active area of research for the last two decades. However, there have only been few studies that provide a comparative performance evaluation of different systems on a common database. We have therefore s...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2017-07
Hauptverfasser:	Arnaud Arindra Adiyoso Setio, Traverso, Alberto, Thomas de Bel, Berens, Moira S N, Cas van den Bogaard, Cerello, Piergiorgio, Chen, Hao, Dou, Qi, Fantacci, Maria Evelina, Geurts, Bram, Robbert van der Gugten, Heng, Pheng Ann, Jansen, Bart, Michael M J de Kaste, Kotov, Valentin, Jack Yu-Hung Lin, Jeroen T M C Manders, Alexander Sónora-Mengana, García-Naranjo, Juan Carlos, Papavasileiou, Evgenia, Prokop, Mathias, Saletta, Marco, Schaefer-Prokop, Cornelia M, Scholten, Ernst T, Scholten, Luuk, Snoeren, Miranda M, Ernesto Lopez Torres, Vandemeulebroucke, Jef, Walasek, Nicole, Zuidhof, Guido C A, Bram van Ginneken, Jacobs, Colin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computation Computed tomography Computer Science - Computer Vision and Pattern Recognition Image detection Medical imaging Nodules Performance evaluation Readers Systems analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!