By Yu-Ying Liu, Mei Chen, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg (auth.), Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever (eds.)
The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, used to be held in Beijing, China from 20-24 September,2010.ThevenuewastheChinaNationalConventionCenter(CNCC), China’slargestandnewestconferencecenterwith excellentfacilities andaprime situation within the middle of the Olympic eco-friendly, adjoining to attribute constr- tions just like the Bird’s Nest (National Stadium) and the Water dice (National Aquatics Center). MICCAI is the main foreign scienti?c occasion within the ?eld of clinical photo computing and computer-assisted interventions. the yearly convention has a excessive scienti?c commonplace through advantage of the edge for attractiveness, and therefore MICCAI has outfitted up a song list of attracting best scientists, engineersandcliniciansfromawiderangeoftechnicalandbiomedicaldisciplines. This yr, we obtained 786 submissions, good according to the former meetings in ny and London. 3 software chairs and a application committee of 31 scientists, all with a famous status within the ?eld of the convention, have been chargeable for the choice of the papers. The evaluate strategy was once organize such that every paper was once thought of by way of the 3 software chairs, software committee participants, and no less than 3 exterior reviewers. The evaluate technique was once double-blind, so the reviewers didn't understand the id of the authors of the submission. After a cautious evaluate technique, within which all controversialand grey quarter papers have been mentioned separately, we arrived at a complete of 251 approved papers for MICCAI 2010, of which forty five have been chosen for podium presentation and 206 for poster presentation. The popularity percent (32%) used to be in response to that of past MICCAI meetings. All 251 papers are integrated within the 3 MICCAI 2010 LNCS volumes.
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Additional info for Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I
Note that the use of all 256 bins of LBP histogram gives the worst results, presumably due to overﬁtting in the high dimensional feature space. pca u2 u2 and LBP8,1 . From Table 1, LBP8,1 We then compare the results of LBP8,1 pca and LBP8,1 have similar performance for the ﬁrst three categories, where the pathologies are described mostly by smooth or global shape changes. In AMD pca u2 (32) is clearly superior to LBP8,1 . Our conjecture is category, however, LBP8,1 that since AMD is characterized by the irregular contours of the bottom retinal u2 layer, the removal of individual non-uniform patterns, as used in LBP8,1 , can result in the loss of important discriminative information.
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