Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning

Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning

Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric quantification (size, location, growth rate) of the tumor, edema, and cavity can result in improved monitoring and treatment planning. Such quantification requires the segmentation of these structures...

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Bibliographic Details
Main Authors: Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Deep learning
Automatic segmentation
Spinal cord tumor
MRI
Multiclass
CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158221002102

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http://www.sciencedirect.com/science/article/pii/S2213158221002102

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