TY - GEN
T1 - Overview of the 2013 workshop on Medical Computer Vision (MCV 2013)
AU - Müller, Henning
AU - Menze, Bjoern H.
AU - Langs, Georg
AU - Montillo, Albert
AU - Kelm, B. Michael
AU - Tu, Zhuowen
AU - Del Toro, Óscar Alfonso Jiménez
N1 - Funding Information:
This work was supported by the EU in the FP7 through the VISCERAL (318068) and Khresmoi (257528) projects. The MCV best paper prizes were sponsored by Siemens Corporate Technology.
PY - 2014
Y1 - 2014
N2 - The 2013 workshop in medical computer vision (MCV) took place in Nagoya, Japan in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the third MICCAI MCV workshop after 2011 and 2012 also related to a similar workshop held at CVPR (Computer Vision and Pattern Recognition) in 2012. The workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, localisation of anatomical features and detection of anomalies. It emphasises questions of harvesting, organising and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. We are especially interested in modern, scalable and efficient algorithms which generalise well to previously unseen images. The strong participation of over 70 persons in the workshop shows the importance and timeliness of medical computer vision as a research field. 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.
AB - The 2013 workshop in medical computer vision (MCV) took place in Nagoya, Japan in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the third MICCAI MCV workshop after 2011 and 2012 also related to a similar workshop held at CVPR (Computer Vision and Pattern Recognition) in 2012. The workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, localisation of anatomical features and detection of anomalies. It emphasises questions of harvesting, organising and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. We are especially interested in modern, scalable and efficient algorithms which generalise well to previously unseen images. The strong participation of over 70 persons in the workshop shows the importance and timeliness of medical computer vision as a research field. 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.
KW - Detection
KW - Medical computer vision
KW - Medical image analysis
KW - Segmentation
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U2 - 10.1007/978-3-319-05530-5_1
DO - 10.1007/978-3-319-05530-5_1
M3 - Conference contribution
AN - SCOPUS:84958537701
SN - 9783319055299
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 10
BT - Medical Computer Vision
PB - Springer Verlag
T2 - 3rd International MICCAI Workshop on Medical Computer Vision, MCV 2013
Y2 - 26 September 2013 through 26 September 2013
ER -