Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation BRATS 2013Reportar como inadecuado




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1 ASCLEPIOS - Analysis and Simulation of Biomedical Images CRISAM - Inria Sophia Antipolis - Méditerranée 2 ISTB - Institute for Surgical Technology and Biomechanics Bern 3 CIR lab - Computational Image Analysis and Radiology 4 MGH - Massachusetts General Hospital Boston 5 Department of Health and Human Services

Abstract : Because of their unpredictable appearance and shape, segmenting brain tumors from multi-modal imaging data is one of the most challenging tasks in medical image analysis. Although many different segmentation strategies have been proposed in the literature, it is hard to compare existing methods because the validation datasets that are used differ widely in terms of input data structural MR contrasts; perfusion or diffusion data;

., the type of lesion primary or secondary tumors; solid or infiltratively growing, and the state of the disease pre- or post-treatment. In order to gauge the current state-of-the-art in automated brain tumor segmentation and compare between different methods, we are organizing a Multimodal Brain Tumor Image Segmentation BRATS challenge that is held in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI 2013 on September 22nd, 2013 in Nagoya, Japan.





Autor: Bjoern Menze - Mauricio Reyes - Andras Jakab - Elisabeth Gerstner - Justin Kirby - Keyvan Farahani -

Fuente: https://hal.archives-ouvertes.fr/



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