Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: Comparison with a density mask

American Journal of Roentgenology

Volumn 175, Issue 5, 2000, Pages 1329-1334

  Kauczor, H U ^a   Heitmann, K ^a   Heussel, C P ^a   Marwede, D ^a   Uthmann, T ^a   Thelen, M ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLASSIFICATION; CLINICAL TRIAL; CONTRAST ENHANCEMENT; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HUMAN; INTERMETHOD COMPARISON; LUNG DISEASE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RECEPTIVE FIELD;

EID: 0033761466     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/ajr.175.5.1751329     Document Type: Article

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