Title
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.
Abstract
Analysis of cranial nerve systems, such as the anterior visual pathway (AVP), from MRI sequences is challenging due to their thin long architecture, structural variations along the path, and low contrast with adjacent anatomic structures. Segmentation of a pathologic AVP (e.g., with low-grade gliomas) poses additional challenges. In this work, we propose a fully automated partitioned shape model s...
Year
DOI
Venue
2016
10.1109/TMI.2016.2535222
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Biomedical optical imaging,Magnetic resonance imaging,Shape,Optical imaging,Machine learning,Pathology,Robustness
Computer vision,Normalization (statistics),Pattern recognition,Curvelet transform,Computer science,Segmentation,Robustness (computer science),Optic tract,Anterior Visual Pathway,Statistical model,Artificial intelligence,Deep learning
Journal
Volume
Issue
ISSN
35
8
0278-0062
Citations 
PageRank 
References 
8
0.60
23
Authors
7
Name
Order
Citations
PageRank
Awais Mansoor16812.49
Juan J Cerrolaza211517.01
Rabia Idrees380.60
Elijah Biggs4142.70
Mohammad A. Alsharid580.60
Robert Avery6142.22
Marius George Linguraru736248.94