Robust 3D brain segmentation in magnetic resonance image with weighted feature fusion
Author:
Affiliation:
1. School of Computer Science Beihang University Beijing China
2. School of Journalism and Communication Renmin University of China Beijing China
3. State Grid Corporation of China State Grid Shandong Electric Extra High Voltage Company Jinan China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12534
Reference34 articles.
1. Rough segmentation of coherent local intensity for bias induced 3-D MR brain images
2. BIRNet: Brain image registration using dual-supervised fully convolutional networks
3. Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development
4. Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints
5. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks
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