An edge-region force guided active shape approach for automatic lung field detection in chest radiographs

Computerized Medical Imaging and Graphics

Volumn 36, Issue 6, 2012, Pages 452-463

  Xu, Tao ^a   Mandal, Mrinal ^a   Long, Richard ^a   Cheng, Irene ^a   Basu, Anup ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Active shape model; Chest radiograph; Computer aided diagnosis; Edge and region force; Level set; Poisson inverse gradient; Shape priors

Indexed keywords

ACTIVE SHAPE MODELS; CHEST RADIOGRAPHS; EDGE AND REGION FORCE; LEVEL SET; POISSON INVERSE GRADIENT; SHAPE PRIORS;

COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; RADIOGRAPHY;

BIOLOGICAL ORGANS;

ACTIVE SHAPE MODEL; ARTICLE; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; IMAGING SYSTEM; INTERMETHOD COMPARISON; LEARNING; LUNG; MODEL; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; LUNG; LUNG DISEASES; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84863867505     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2012.04.005     Document Type: Article

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