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Volumn 6514, Issue PART 1, 2007, Pages

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation

Author keywords

Computer aided diagnosis; CT imaging; Database; Lung cancer

Indexed keywords

CT IMAGING; DATA COLLECTION; LUNG CANCER; LUNG IMAGE DATABASE CONSORTIUM (LIDC);

EID: 35248813042     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.713754     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 1
    • 33750315764 scopus 로고    scopus 로고
    • International Early Lung Cancer Action Program Investigators; Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, Miettinen OS. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med. 2006 Oct 26;355(17): 1763-71.
    • International Early Lung Cancer Action Program Investigators; Henschke CI, Yankelevitz DF, Libby DM, Pasmantier MW, Smith JP, Miettinen OS. Survival of patients with stage I lung cancer detected on CT screening. N Engl J Med. 2006 Oct 26;355(17): 1763-71.
  • 5
    • 33746242236 scopus 로고    scopus 로고
    • Pulmonary nodule characterization: A comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps
    • Aug;
    • Petkovska I, Shah SK, McNitt-Gray MF, Goldin JG, Brown MS, Kim HJ, Brown K, Aberle DR. Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps. Eur J Radiol. 2006 Aug;59(2):244-52.
    • (2006) Eur J Radiol , vol.59 , Issue.2 , pp. 244-252
    • Petkovska, I.1    Shah, S.K.2    McNitt-Gray, M.F.3    Goldin, J.G.4    Brown, M.S.5    Kim, H.J.6    Brown, K.7    Aberle, D.R.8
  • 8
    • 12144290346 scopus 로고    scopus 로고
    • Lung Image Database Consortium Research Group. Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: Contemporary research topics relevant to the lung image database consortium
    • Apr;
    • Dodd LE, Wagner RF, Armato SG 3rd, McNitt-Gray MF, Beiden S, Chan HP, Gur D, McLennan G, Metz CE, Petrick N, Sahiner B, Sayre J; Lung Image Database Consortium Research Group. Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium. Acad Radiol. 2004 Apr;11(4):462-75.
    • (2004) Acad Radiol , vol.11 , Issue.4 , pp. 462-475
    • Dodd, L.E.1    Wagner, R.F.2    Armato 3rd, S.G.3    McNitt-Gray, M.F.4    Beiden, S.5    Chan, H.P.6    Gur, D.7    McLennan, G.8    Metz, C.E.9    Petrick, N.10    Sahiner, B.11    Sayre, J.12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.