Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, bina...
Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, binarization, mathematical morphology, and 3D reconstruction
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Cham: Springer International Publishing
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Language
English
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Cham: Springer International Publishing
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Introduction
Magnetic resonance imaging (MRI) is the most used medical modality for diagnosis and monitoring of multiple sclerosis (MS). A segmentation process is an important task to quantify lesion and its progression. However, manual segmentation of 3D images is tedious, time-consuming, and often not reproducible. The state of the art present...
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Full title
Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, binarization, mathematical morphology, and 3D reconstruction
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TN_cdi_crossref_citationtrail_10_1007_s42600_020_00070_y
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1007_s42600_020_00070_y
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ISSN
2446-4732
E-ISSN
2446-4740
DOI
10.1007/s42600-020-00070-y
