메뉴 건너뛰기




Volumn 4322, Issue 3, 2001, Pages 1337-1346

Segmentation of medical images using adaptive region growing

Author keywords

Adaptive methods; Region growing; Segmentation

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

EID: 0034849062     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.431013     Document Type: Conference Paper
Times cited : (270)

References (19)
  • 9
    • 0030691679 scopus 로고    scopus 로고
    • Volume segmentation of CT/MRI images using multiscale features, self-organizing principal components analysis (SOPCA), and self-organizing feature map (SOFM)
    • Houston, TX, June
    • (1997) Proc. of the ICNN97 , vol.3 , pp. 1373-1378
    • Ahmed, M.N.1    Farag, A.A.2
  • 10
    • 1542317339 scopus 로고    scopus 로고
    • An adaptive fuzzy-c-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • Medical Images 1998: Image processing
    • (1998) Proc. SPIE , vol.3338 , pp. 555-563
    • Pham, D.L.1    Prince, J.L.2
  • 14
    • 0033723216 scopus 로고    scopus 로고
    • Automated extraction of bronchus from 3D CT images of lung based on genetic algorithm and 3D region growing
    • Medical Imaging 2000
    • (2000) Proc. of SPIE , vol.3979 , pp. 906-916
    • Law, T.Y.1    Heng, P.A.2
  • 15
    • 0033717084 scopus 로고    scopus 로고
    • Efficient segmentation algorithm for 3-D medical image data using a region growing based tracking technique
    • Medical Imaging 2000
    • (2000) Proc. of SPIE , vol.3979 , pp. 880-887
    • Ko, S.1    Yi, J.2    Lim, J.3    Ra, J.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.