Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud-based evaluation framework is presented in this paper including results of benchmarking current...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 35; H. 11; S. 2459 - 2475
Hauptverfasser:	Jimenez-del-Toro, Oscar, Muller, Henning, Krenn, Markus, Gruenberg, Katharina, Aziz Taha, Abdel, Winterstein, Marianne, Eggel, Ivan, Foncubierta-Rodriguez, Antonio, Goksel, Orcun, Jakab, Andras, Kontokotsios, Georgios, Langs, Georg, Menze, Bjoern H., Salas Fernandez, Tomas, Schaer, Roger, Walleyo, Anna, Weber, Marc-Andre, Dicente Cid, Yashin, Gass, Tobias, Heinrich, Mattias, Jia, Fucang, Kahl, Fredrik, Kechichian, Razmig, Mai, Dominic, Spanier, Assaf B., Vincent, Graham, Wang, Chunliang, Wyeth, Daniel, Hanbury, Allan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aged Algorithms Anatomic Landmarks - diagnostic imaging Anatomical structure Anatomy Anatomy - methods Benchmark testing Benchmarks Cloud computing Computed tomography Evaluation Evaluation framework Female Humans Image processing Image Processing, Computer-Assisted - methods Image segmentation landmark detection Localization Magnetic Resonance Imaging Male Medical imaging Middle Aged organ segmentation Tomography, X-Ray Computed
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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