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Cloud-Based Evaluat...
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms : VISCERAL Anatomy Benchmarks
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- Jimenez-del-Toro, Oscar (author)
- Hopitaux universitaires de Geneve
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- Muller, Henning (author)
- Hopitaux universitaires de Geneve
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- Krenn, Markus (author)
- Medizinische Universität Wien,Medical University of Vienna
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- Gruenberg, Katharina (author)
- Universitätsklinikum Heidelberg,University Hospital Heidelberg
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- Taha, Abdel Aziz (author)
- Technische Universität Wien,Vienna University of Technology
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- Winterstein, Marianne (author)
- Universitätsklinikum Heidelberg,University Hospital Heidelberg
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Eggel, Ivan (author)
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- Foncubierta-Rodriguez, Antonio (author)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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- Goksel, Orcun (author)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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- Jakab, Andres (author)
- Medizinische Universität Wien,Medical University of Vienna
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- Kontokotsios, Georgios (author)
- Technische Universität Wien,Vienna University of Technology
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- Langs, Georg (author)
- Medizinische Universität Wien,Medical University of Vienna
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- Menze, Bjoern H. (author)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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- Fernandez, Tomas Salas (author)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH),Agency for Health Quality and Assessment of Catalonia
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Schaer, Roger (author)
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- Walleyo, Anna (author)
- Universitätsklinikum Heidelberg,University Hospital Heidelberg
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- Weber, Marc-Andre (author)
- Universitätsklinikum Heidelberg,University Hospital Heidelberg
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- Cid, Yashin Dicente (author)
- Hopitaux universitaires de Geneve
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- Gass, Tobias (author)
- Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)
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- Heinrich, Mattias (author)
- Universitaet Zu Lübeck
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- Jia, Fucang (author)
- Chinese Academy of Sciences
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- Kahl, Fredrik, 1972 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Kechichian, Razmig (author)
- Université de Lyon
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- Mai, Dominic (author)
- Albert-Ludwigs-Universität Freiburg,University of Freiburg
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- Spanier, Assaf B. (author)
- The Hebrew University Of Jerusalem
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Vincent, Graham (author)
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- Wang, Chunliang (author)
- KTH,Medicinsk bildbehandling och visualisering,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Wyeth, Daniel (author)
- Toshiba Medical Visualization Systems Europe
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- Hanbury, Allan (author)
- Technische Universität Wien,Vienna University of Technology
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2016
- 2016
- English.
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In: IEEE Transactions on Medical Imaging. - : Institute of Electrical and Electronics Engineers (IEEE). - 0278-0062 .- 1558-254X. ; 35:11, s. 2459-2475
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- Evaluation framework
- organ segmentation
- landmark detection
Publication and Content Type
- ref (subject category)
- art (subject category)
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Jimenez-del-Toro ...
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Muller, Henning
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Krenn, Markus
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Gruenberg, Katha ...
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Taha, Abdel Aziz
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Winterstein, Mar ...
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show more...
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Eggel, Ivan
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Foncubierta-Rodr ...
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Goksel, Orcun
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Jakab, Andres
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Kontokotsios, Ge ...
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Langs, Georg
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Menze, Bjoern H.
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Fernandez, Tomas ...
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Schaer, Roger
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Walleyo, Anna
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Weber, Marc-Andr ...
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Cid, Yashin Dice ...
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Gass, Tobias
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Heinrich, Mattia ...
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Jia, Fucang
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Kahl, Fredrik, 1 ...
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Kechichian, Razm ...
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Mai, Dominic
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Spanier, Assaf B ...
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Vincent, Graham
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Wang, Chunliang
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Wyeth, Daniel
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Hanbury, Allan
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- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Medical Engineer ...
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and Medical Image Pr ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Signal Processin ...
- Articles in the publication
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IEEE Transaction ...
- By the university
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Royal Institute of Technology
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Chalmers University of Technology