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Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the...
This paper presents an automatic method for the segmentation of Optic Pathway Gliomas (OPGs) from multi-spectral MRI datasets. The method starts with the automatic localization of the OPG and its core with an anatomical tumor atlas followed by a binary voxel classification with a probabilistic tissue model whose parameters are estimated from MR images. The method effectively incorporates prior location,...
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