Search: onr:"swepub:oai:DiVA.org:kth-198890" > Cloud-Based Evaluat...
Fältnamn | Indikatorer | Metadata |
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000 | 06327naa a2200721 4500 | |
001 | oai:DiVA.org:kth-198890 | |
003 | SwePub | |
008 | 161222s2016 | |||||||||||000 ||eng| | |
009 | oai:research.chalmers.se:776fa12c-8416-434d-85d2-826711527718 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1988902 URI |
024 | 7 | a https://doi.org/10.1109/TMI.2016.25786802 DOI |
024 | 7 | a https://research.chalmers.se/publication/2463752 URI |
040 | a (SwePub)kthd (SwePub)cth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Jimenez-del-Toro, Oscaru Hopitaux universitaires de Geneve4 aut |
245 | 1 0 | a Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms :b VISCERAL Anatomy Benchmarks |
264 | 1 | b Institute of Electrical and Electronics Engineers (IEEE),c 2016 |
338 | a print2 rdacarrier | |
500 | a QC 20170104 | |
520 | a 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. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Signalbehandling0 (SwePub)202052 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Signal Processing0 (SwePub)202052 hsv//eng |
653 | a Evaluation framework | |
653 | a organ segmentation | |
653 | a landmark detection | |
700 | 1 | a Muller, Henningu Hopitaux universitaires de Geneve4 aut |
700 | 1 | a Krenn, Markusu Medizinische Universität Wien,Medical University of Vienna4 aut |
700 | 1 | a Gruenberg, Katharinau Universitätsklinikum Heidelberg,University Hospital Heidelberg4 aut |
700 | 1 | a Taha, Abdel Azizu Technische Universität Wien,Vienna University of Technology4 aut |
700 | 1 | a Winterstein, Marianneu Universitätsklinikum Heidelberg,University Hospital Heidelberg4 aut |
700 | 1 | a Eggel, Ivan4 aut |
700 | 1 | a Foncubierta-Rodriguez, Antoniou Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)4 aut |
700 | 1 | a Goksel, Orcunu Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)4 aut |
700 | 1 | a Jakab, Andresu Medizinische Universität Wien,Medical University of Vienna4 aut |
700 | 1 | a Kontokotsios, Georgiosu Technische Universität Wien,Vienna University of Technology4 aut |
700 | 1 | a Langs, Georgu Medizinische Universität Wien,Medical University of Vienna4 aut |
700 | 1 | a Menze, Bjoern H.u Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)4 aut |
700 | 1 | a Fernandez, Tomas Salasu Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH),Agency for Health Quality and Assessment of Catalonia4 aut |
700 | 1 | a Schaer, Roger4 aut |
700 | 1 | a Walleyo, Annau Universitätsklinikum Heidelberg,University Hospital Heidelberg4 aut |
700 | 1 | a Weber, Marc-Andreu Universitätsklinikum Heidelberg,University Hospital Heidelberg4 aut |
700 | 1 | a Cid, Yashin Dicenteu Hopitaux universitaires de Geneve4 aut |
700 | 1 | a Gass, Tobiasu Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH)4 aut |
700 | 1 | a Heinrich, Mattiasu Universitaet Zu Lübeck4 aut |
700 | 1 | a Jia, Fucangu Chinese Academy of Sciences4 aut |
700 | 1 | a Kahl, Fredrik,d 1972u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)kahlf |
700 | 1 | a Kechichian, Razmigu Université de Lyon4 aut |
700 | 1 | a Mai, Dominicu Albert-Ludwigs-Universität Freiburg,University of Freiburg4 aut |
700 | 1 | a Spanier, Assaf B.u The Hebrew University Of Jerusalem4 aut |
700 | 1 | a Vincent, Graham4 aut |
700 | 1 | a Wang, Chunliangu KTH,Medicinsk bildbehandling och visualisering,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)4 aut0 (Swepub:kth)u1tbkeej |
700 | 1 | a Wyeth, Danielu Toshiba Medical Visualization Systems Europe4 aut |
700 | 1 | a Hanbury, Allanu Technische Universität Wien,Vienna University of Technology4 aut |
710 | 2 | a Hopitaux universitaires de Geneveb Medizinische Universität Wien4 org |
773 | 0 | t IEEE Transactions on Medical Imagingd : Institute of Electrical and Electronics Engineers (IEEE)g 35:11, s. 2459-2475q 35:11<2459-2475x 0278-0062x 1558-254X |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198890 |
856 | 4 8 | u https://doi.org/10.1109/TMI.2016.2578680 |
856 | 4 8 | u https://research.chalmers.se/publication/246375 |
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