Registration-based lung mechanical analysis of chronic obstructive pulmonary disease (COPD) using a supervised machine learning framework

Academic Radiology

Volumn 20, Issue 5, 2013, Pages 527-536

  Bodduluri, Sandeep ^a   Newell, John D ^b   Hoffman, Eric A ^b   Reinhardt, Joseph M ^a  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

Author keywords

CAD; COPD; Lung; Mechanics; Registration

Indexed keywords

AGED; ARTICLE; BIOMECHANICS; CHRONIC OBSTRUCTIVE LUNG DISEASE; CONTROLLED STUDY; FEMALE; FORCED EXPIRATORY VOLUME; FORCED VITAL CAPACITY; FUNCTIONAL RESIDUAL CAPACITY; HUMAN; K NEAREST NEIGHBOR; LEARNING ALGORITHM; LUNG FUNCTION TEST; LUNG MECHANICS; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; QUALITY OF LIFE; QUESTIONNAIRE; TOTAL LUNG CAPACITY;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; LUNG; MALE; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RESPIRATORY FUNCTION TESTS; RESPIRATORY MECHANICS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84875896927     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2013.01.019     Document Type: Article

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