A Patch Based Approach for the Segmentation of Pathologies: Application to Glioma Labelling
Journal Title: Elysium Journal of Engineering Research and Management - Year 2016, Vol 4, Issue 2
Abstract
This paper proposes a novel and generic approach with multi-atlas patch-based voting techniques for addressing the fullyautomatic segmentation of brain tumors. To avoid the local search window assumption, conventional patch-based framework is applied through many procedures like, improved training dataset in both purity of label and statistics of intensity, augmented features for guiding the nearest-neighbor-search indirectly, patches of multiscale, invariance to cube isometries, votes stratified with respect to labels and cases. A probabilistic method allocates the interest region enclosed with the volumes of high probability tumor. It can permits the algorithm for achieving highly best running time even it has less processing power and resources. The evaluation of this method was done by the Multimodal Brain Tumor Image Segmentation challenge datasets. The results of this proposed method are attained with limited learning stage even it avoids the risk of overfitting.
Authors and Affiliations
Balakumar B. , Raviraj P. , Nithu S. V.
Keywords
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