Overview of the 2014 workshop on Medical Computer Vision (MCV 2014) : algorithms for big data

Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Menze, Bjoern ; Langs, Georg ; Montillo, Albert ; Kelm, Michael ; Zhang, Shaoting ; Cai, Weidong ; Metaxas, Dimitrios

The 2014 workshop on medical computer vision (MCV): algorithms for big data took place in Cambridge, MA, USA in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the fourth MICCAI MCV workshop after those held in 2010, 2012 and 2013 with another edition held at CVPR 2012. This workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, localisation of anatomical features and extraction of meaningful visual features. It emphasises questions of harvesting, organising and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The workshop is especially interested in modern, scalable and efficient algorithms which generalise well to previously unseen images.The strong participation in the workshop of over 80 persons shows the importance of and interest in Medical Computer Vision. This overview article describes the papers presented in the workshop as either oral presentations or short presentations and posters. It also describes the invited talks and the results of the VISCERAL session in the workshop on the use of big data in medical imaging.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG-VS
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Cambridge, USA, 18 September 2014
Date:
Cambridge, USA
18 September 2014
2014
Pagination:
pp. 3-10
Publié dans
Medical Computer Vision : algorithms for big data : proceedings of International Workshop Medical Computer Vision 2014
Numérotation (vol. no.):
2014, vol. 8848
DOI:
Le document apparaît dans:

Note: The status of this file is: restricted


 Notice créée le 2015-11-21, modifiée le 2018-12-11

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