메뉴 건너뛰기




Volumn 16, Issue 1, 2007, Pages 830-833

Methods for automatic honeycombing detection in HRCT images of the lung

Author keywords

Computer aided diagnosis; Disease pattern recognition; Honeycombing; Lung HRCT

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; TEXTURES;

EID: 85007092540     PISSN: 16800737     EISSN: 14339277     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-73044-6_215     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 2
    • 0141743729 scopus 로고    scopus 로고
    • Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography
    • Uchiyama Y, Katsuragawa S, Abe H, Shiraishi J et al (2003) Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography,” Medical Physics 30(9): 2440-2454
    • (2003) Medical Physics , vol.30 , Issue.9 , pp. 2440-2454
    • Uchiyama, Y.1    Katsuragawa, S.2    Abe, H.3    Shiraishi, J.4
  • 4
    • 0018466704 scopus 로고
    • Statistical and Structural Approaches to Texture
    • May
    • Haralick RM (1979) Statistical and Structural Approaches to Texture, Proceedings of the IEEE, Vol 67, May, pp.786-804
    • (1979) Proceedings of the IEEE , vol.67 , pp. 786-804
    • Haralick, R.M.1
  • 6
    • 84886415472 scopus 로고    scopus 로고
    • Classification of Lung Disease Pattern Using Seeded Region Growing
    • Wong SJ and Zrimec T, (2006) Classification of Lung Disease Pattern Using Seeded Region Growing, AI 2006: Advances in Artificial Intelligence 4304/2006, pp. 233-242
    • (2006) AI 2006: Advances in Artificial Intelligence , vol.4304 , Issue.2006 , pp. 233-242
    • Wong, S.J.1    Zrimec, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.