Brain region-of-interesting (ROI) segmentation is an important prerequisite step for many computeraid brain disease ***,the human brain has the complicated anatomical ***,the brain MR images often suffer from the low ...
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Brain region-of-interesting (ROI) segmentation is an important prerequisite step for many computeraid brain disease ***,the human brain has the complicated anatomical ***,the brain MR images often suffer from the low intensity contrast around the boundary of ROIs,large inter-subject variance and large inner-subject *** address these issues,many multi-atlas based segmentation methods are proposed for brain ROI segmentation in the last *** this paper,multi-atlas based methods for brain MR image segmentation were reviewed regarding several registration toolboxes which are widely used in the multi-atlas methods,conventional methods for label fusion,datasets that have been used for evaluating the multiatlas methods,as well as the applications of multi-atlas based segmentation in clinical *** propose that incorporating the anatomical prior into the end-to-end deep learning architectures for brain ROI segmentation is an important direction in the future.
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