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Volumn 5, Issue 5, 1995, Pages 594-605

Unsupervised Measurement of Brain Tumor Volume on MR Images

Author keywords

Clustering; k nearest neighbors; MR imaging; Pattern recognition; Segmentation; Tumor volume

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BRAIN TUMOR; CASE REPORT; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; INSTRUMENTATION; MALE; MENINGIOMA; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; THEORETICAL MODEL;

EID: 0029366255     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.1880050520     Document Type: Article
Times cited : (75)

References (33)
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    • Just, M1    Thelen, M2
  • 28
    • 84988181984 scopus 로고
    • A computer environment for ‐ and 3D quantitation of MR Images using neural networks. Proceedings of the IEEE Biomedical Engineering Society. Orlando
    • (1992) , pp. 64-65
    • Dawant, BM1    Özkan, M2    Zljdenbos, A3    Margolin, R4
  • 33
    • 84988151094 scopus 로고
    • Knowledge‐based classification and tissue labeling of MR Images of human brain. In: Acharya RS, Goldgof DB, eds. Medical Imaging 1993: Biomedical image processing and biomedical visualization. Proceedings of SPIE 1905
    • (1993) , pp. 554-565
    • Li, C1    Hall, LO2    Goldgof, DB3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.