Segmentation of Corpus Callosum using Attention U-Net Architecture for MRI Scan
Author:
Affiliation:
1. King Abdulaziz University,Department of Computer Science,Jeddah,Saudi Arabia,21589
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054512/10054643/10054677.pdf?arnumber=10054677
Reference25 articles.
1. Automated Segmentation and Analysis of Corpus Callosum in Autistic MR Brain Images Using Fuzzy-c-Means-Based Level Set Method
2. Active Shape Model Segmentation Using Local Edge Structures and AdaBoost
3. A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD)
4. Computer-assisted enhanced volumetric segmentation magnetic resonance imaging data using a mixture of artificial neural networks
5. A Hybrid Technique for the Automated Segmentation of Corpus Callosum in Midsagittal Brain MRI;manasa;International Journal of Engineering Research and Applications,2014
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