Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images

Volume: 39, Issue: 6, Pages: 2000 - 2012
Published: Jun 1, 2020
Abstract
Brain region-of-interest (ROI) segmentation based on structural magnetic resonance imaging (MRI) scans is an essential step for many computer-aid medical image analysis applications. Due to low intensity contrast around ROI boundary and large inter-subject variance, it has been remaining a challenging task to effectively segment brain ROIs from structural MR images. Even though several deep learning methods for brain MR image segmentation have...
Paper Details
Title
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images
Published Date
Jun 1, 2020
Volume
39
Issue
6
Pages
2000 - 2012
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