메뉴 건너뛰기




Volumn 1, Issue , 2000, Pages

Belief function in low level data fusion: Application in MRI images of vertebra

Author keywords

belief functions; data fusion; Dempster Shafer; MRI vertebrae image; statical training

Indexed keywords

DATA FUSION; IMAGE SEGMENTATION; INFORMATION FUSION; MUSCULOSKELETAL SYSTEM; PATIENT MONITORING; UNCERTAINTY ANALYSIS;

EID: 4243695416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFIC.2000.862691     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 6
    • 0029307876 scopus 로고
    • A k-nearest neighbor classification rule based on dempster-shafer theory
    • T. Denoeux, A k-nearest neighbor classification rule based on Dempster-Shafer theory, IEEE Transactions on systems, mans and cybernetics, 25, 804-813, 1995.
    • (1995) IEEE Transactions on Systems, Mans and Cybernetics , vol.25 , pp. 804-813
    • Denoeux, T.1
  • 8
    • 0029756565 scopus 로고    scopus 로고
    • Information combination operators for data fusion : A comparative review with classification
    • I. Bloch, Information combination operators for data fusion : A comparative review with classification, IEEE Trans, on Systems, Man and Cybernetics, 52-67, 1996.
    • (1996) IEEE Trans, on Systems, Man and Cybernetics , pp. 52-67
    • Bloch, I.1
  • 9
    • 0030192238 scopus 로고    scopus 로고
    • Some aspects of dempster-shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account
    • I. Bloch, Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account, Pattern Recognition Letters, 905-919, 1996.
    • (1996) Pattern Recognition Letters , pp. 905-919
    • Bloch, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.