Title | ||
---|---|---|
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation. |
Abstract | ||
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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 Mansoor | 1 | 68 | 12.49 |
Juan J Cerrolaza | 2 | 115 | 17.01 |
Rabia Idrees | 3 | 8 | 0.60 |
Elijah Biggs | 4 | 14 | 2.70 |
Mohammad A. Alsharid | 5 | 8 | 0.60 |
Robert Avery | 6 | 14 | 2.22 |
Marius George Linguraru | 7 | 362 | 48.94 |