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  • Jimenez-del-Toro, OscarHopitaux universitaires de Geneve (author)

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

  • Article/chapterEnglish2016

Publisher, publication year, extent ...

  • Institute of Electrical and Electronics Engineers (IEEE),2016
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-198890
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198890URI
  • https://doi.org/10.1109/TMI.2016.2578680DOI
  • https://research.chalmers.se/publication/246375URI

Supplementary language notes

  • Language:English
  • Summary in:English

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Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20170104
  • 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 and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Muller, HenningHopitaux universitaires de Geneve (author)
  • Krenn, MarkusMedizinische Universität Wien,Medical University of Vienna (author)
  • Gruenberg, KatharinaUniversitätsklinikum Heidelberg,University Hospital Heidelberg (author)
  • Taha, Abdel AzizTechnische Universität Wien,Vienna University of Technology (author)
  • Winterstein, MarianneUniversitätsklinikum Heidelberg,University Hospital Heidelberg (author)
  • Eggel, Ivan (author)
  • Foncubierta-Rodriguez, AntonioEidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH) (author)
  • Goksel, OrcunEidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH) (author)
  • Jakab, AndresMedizinische Universität Wien,Medical University of Vienna (author)
  • Kontokotsios, GeorgiosTechnische Universität Wien,Vienna University of Technology (author)
  • Langs, GeorgMedizinische Universität Wien,Medical University of Vienna (author)
  • Menze, Bjoern H.Eidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH) (author)
  • Fernandez, Tomas SalasEidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH),Agency for Health Quality and Assessment of Catalonia (author)
  • Schaer, Roger (author)
  • Walleyo, AnnaUniversitätsklinikum Heidelberg,University Hospital Heidelberg (author)
  • Weber, Marc-AndreUniversitätsklinikum Heidelberg,University Hospital Heidelberg (author)
  • Cid, Yashin DicenteHopitaux universitaires de Geneve (author)
  • Gass, TobiasEidgenössische Technische Hochschule Zürich (ETH),Swiss Federal Institute of Technology in Zürich (ETH) (author)
  • Heinrich, MattiasUniversitaet Zu Lübeck (author)
  • Jia, FucangChinese Academy of Sciences (author)
  • Kahl, Fredrik,1972Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)kahlf (author)
  • Kechichian, RazmigUniversité de Lyon (author)
  • Mai, DominicAlbert-Ludwigs-Universität Freiburg,University of Freiburg (author)
  • Spanier, Assaf B.The Hebrew University Of Jerusalem (author)
  • Vincent, Graham (author)
  • Wang, ChunliangKTH,Medicinsk bildbehandling och visualisering,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)(Swepub:kth)u1tbkeej (author)
  • Wyeth, DanielToshiba Medical Visualization Systems Europe (author)
  • Hanbury, AllanTechnische Universität Wien,Vienna University of Technology (author)
  • Hopitaux universitaires de GeneveMedizinische Universität Wien (creator_code:org_t)

Related titles

  • In:IEEE Transactions on Medical Imaging: Institute of Electrical and Electronics Engineers (IEEE)35:11, s. 2459-24750278-00621558-254X

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