An Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network-Reference-Cited by-同舟云学术

An Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network

Published:2021 Issue: Volume: Page:256-265
ISSN:0302-9743
Container-title:Computer Analysis of Images and Patterns
language:
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Author:

Georgiou Andreas^ORCID,Loizou Christos P.^ORCID,Nicolaou Andria^ORCID,Pantzaris Marios^ORCID,Pattichis Constantinos S.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-89128-2_25

Reference27 articles.

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4. Loizou, C.P., Pantzaris, M., Pattichis, C.S.: Normal appearing brain white matter changes in relapsing multiple sclerosis: texture image and classification analysis in serial MRI scans. Magn. Reson. Imaging 73(August), 192–202 (2020)

5. Wicks, D.A.G., Tofts, P.S., Miller, D.H., de Boulay, G.H., et al.: Volume measurement of multiple sclerosis lesions with magnetic resonance images - a preliminary study. Neuroradiology 34(6), 475–479 (1992)

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