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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolu...

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2073789931

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

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Scope and Contents

Contents

The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and longitudinal monitoring in MS. Automating this operation eliminates inter-rater variability and increase...

Alternative Titles

Full title

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2073789931

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2073789931

Other Identifiers

E-ISSN

2331-8422

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