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Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
journal contribution
posted on 2021-09-01, 00:00 authored by A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, Roohallah AlizadehsaniRoohallah Alizadehsani, Fahime KhozeimehFahime Khozeimeh, J M Gorriz, J Heras, M Panahiazar, Saeid Nahavandi, U R AcharyaApplications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
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Journal
Computers in Biology and MedicineVolume
136Article number
ARTN 104697Pagination
1 - 23Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
Link to full text
ISSN
0010-4825eISSN
1879-0534Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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BiologyBLOOD TESTBRAIN MRI SEGMENTATIONCLINICALLY ISOLATED SYNDROMEComputer ScienceComputer Science, Interdisciplinary ApplicationsDeep learningDiagnosisDISABILITYDISEASE-ACTIVITYEngineeringEngineering, BiomedicalENVIRONMENTAL-FACTORSLESION SEGMENTATIONLife Sciences & BiomedicineLife Sciences & Biomedicine - Other TopicsMathematical & Computational BiologyMRIMultiple sclerosisNETWORKSNeuroimagingScience & TechnologySTEM-CELL TRANSPLANTATIONTechnology
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