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 state-of-the-art medical imaging algorithms for anatomical structure segmentation and landmark detection: the VISCERAL Anatomy benchmarks. The algorithms are implemented in virtual machines in the cloud where participants can only access the training data and can be run privately by the benchmark administrators to objectively compare their performance in an unseen common test set. Overall, 120 computed tomography and magnetic resonance patient volumes were manually annotated to create a standard Gold Corpus containing a total of 1295 structures and 1760 landmarks. Ten participants contributed with automatic algorithms for the organ segmentation task, and three for the landmark localization task. Different algorithms obtained the best scores in the four available imaging modalities and for subsets of anatomical structures. The annotation framework, resulting data set, evaluation setup, results and performance analysis from the three VISCERAL Anatomy benchmarks are presented in this article. Both the VISCERAL data set and Silver Corpus generated with the fusion of the participant algorithms on a larger set of non-manually-annotated medical images are available to the research community.
Oscar
O
Jimenez-Del-Toro
Henning
H
Muller
Markus
M
Krenn
Katharina
K
Gruenberg
Abdel Aziz
AA
Taha
Marianne
M
Winterstein
Ivan
I
Eggel
Antonio
A
Foncubierta-Rodriguez
Orcun
O
Goksel
Andras
A
Jakab
Georgios
G
Kontokotsios
Georg
G
Langs
Bjoern H
BH
Menze
Tomas
T
Salas Fernandez
Roger
R
Schaer
Anna
A
Walleyo
Marc-Andre
MA
Weber
Yashin
Y
Dicente Cid
Tobias
T
Gass
Mattias
M
Heinrich
Fucang
F
Jia
Fredrik
F
Kahl
Razmig
R
Kechichian
Dominic
D
Mai
Assaf B
AB
Spanier
Graham
G
Vincent
Chunliang
C
Wang
Daniel
D
Wyeth
Allan
A
Hanbury
D000368:Aged; D000465:Algorithms; D059925:Anatomic Landmarks / Q000000981:diagnostic imaging*; D000715:Anatomy / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D014057:Tomography, X-Ray Computed