Computer-aided diagnosis of emphysema in COPD patients: Neural-network-based analysis of lung shape in digital chest radiographs

Medical Engineering and Physics

Volumn 29, Issue 1, 2007, Pages 76-86

  Coppini, Giuseppe ^a   Miniati, Massimo ^a   Paterni, Marco ^a   Monti, Simonetta ^a   Ferdeghini, Ezio Maria ^a  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

Author keywords

COPD; Digital radiography; Emphysema; Neural networks; Shape analysis

Indexed keywords

BIOLOGICAL ORGANS; DISEASES; PATIENT TREATMENT; RADIOGRAPHY; SENSITIVITY ANALYSIS;

CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD); DIGITAL CHEST RADIOGRAPHY; EMPHYSEMA; MINIMAL-POLYLINE APPROXIMATION;

COMPUTER AIDED DIAGNOSIS;

ANATOMY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIGITAL RADIOGRAPHY; DISCRIMINANT ANALYSIS; EMPHYSEMA; FEMALE; HUMAN; LUNG FUNCTION; MAJOR CLINICAL STUDY; MALE; POSITIVE FEEDBACK; PRIORITY JOURNAL; SAMPLE; THORAX RADIOGRAPHY;

HUMANS; LUNG; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; PULMONARY EMPHYSEMA; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750478385     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2006.02.001     Document Type: Article

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