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Volumn 2710, Issue , 1996, Pages 81-93

Detection and quantification of MS lesions using fuzzy topological principles

Author keywords

Fuzzy connectedness; Image segmentation; Lesion detection; MR image analysis; Multiple sclerosis

Indexed keywords

DISEASE CONTROL; FUZZY SETS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TOPOLOGY;

EID: 0030316201     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.237902     Document Type: Conference Paper
Times cited : (13)

References (21)
  • 2
    • 0021035886 scopus 로고
    • Rating neurological impairment in multiple sclerosis: An expanded disability status scale (EDSS)
    • (1983) Neurology , vol.33 , pp. 1444-1452
    • Kurtzke, J.1
  • 6
    • 0024345480 scopus 로고
    • The value of T1-weighted images in the differentiation between MS, white matter lesions, and subcortical arteriosclerotic encephalopathy (SAE)
    • (1989) Neuroradiology , vol.31 , pp. 203-212
    • Uhlenbrock, D.1    Sehlen, S.2
  • 11
    • 0010238655 scopus 로고
    • Evaluation of multiple sclerosis lesion load: Comparison of multiple image processing techniques
    • Montreal, Canada, Montreal Neurological Institute, Nov. 6-7
    • (1995) Proceedings of the Workshop
    • Evans, A.1
  • 12
    • 0027521002 scopus 로고
    • Interferon beta-1b is effective in relapsing-remitting multiple sclerosis. II MRI analysis results of a multicenter, randomized, double-blind, placebo-controlled trial
    • LiDKB, The UBC MS/MRI Study Group, and The IFNB Multiple Sclerosis Study Group
    • (1993) Neurology , vol.43 , pp. 662-667
    • Paty, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.