Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels

Published: 2018, Last Modified: 13 Nov 2024Comput. Methods Programs Biomed. 2018EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Supervoxel segmentation using multimodal MRI to produce boundaries across multiple image protocols.•Unified framework to classify each supervoxel using features calculated from multimodal MRI.•Improved performance for classification of brain tumour supervoxels by using texton descriptors.•Applying DTI with conventional MRI increases the segmentation accuracy for tumour structures.
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