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Volumn 17, Issue 4, 2001, Pages 279-286

Clinical validation of an automated boundary tracking algorithm on cardiac MR images

Author keywords

Automatic segmentation; Cardiac magnetic resonance imaging; Ventricular mass

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; CLINICAL ARTICLE; CLINICAL OBSERVATION; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; ENDOCARDIUM; EPICARDIUM; FUNCTIONAL ASSESSMENT; HEART DILATATION; HEART DISEASE; HEART FUNCTION; HEART LEFT VENTRICLE ANEURYSM; HEART LEFT VENTRICLE HYPERTROPHY; HEART LEFT VENTRICLE WALL; HEART VENTRICLE ENDDIASTOLIC PRESSURE; HUMAN; IMAGE QUALITY; NUCLEAR MAGNETIC RESONANCE IMAGING; POPULATION RESEARCH; PRACTICE GUIDELINE; QUANTITATIVE DIAGNOSIS; RADIOLOGIST; STATISTICAL ANALYSIS; SYSTOLE; TOMOGRAPHY; VALIDATION PROCESS; VOLUNTEER;

EID: 0035198443     PISSN: 01679899     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011690219671     Document Type: Article
Times cited : (16)

References (18)
  • 4
    • 0031758816 scopus 로고    scopus 로고
    • Experimental validation of an automated edge-detection method for a simultaneous determination of the endocardial and epicardial borders in short-axis cardiac MR images: Application in normal volunteers
    • (1998) JMRI , vol.8 , pp. 1006-1014
    • Furber, A.1    Balzer, P.2    Cavaro-Ménard, C.3
  • 14
    • 84908219488 scopus 로고
    • Statistical methods for assessing agreement between two methods of clinical measurement
    • (1986) Lancet , vol.1 , pp. 307-310
    • Bland, J.M.1    Altman, D.G.2
  • 15


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.