A fully automatic method for lung parenchyma segmentation and repairing

Journal of Digital Imaging

Volumn 26, Issue 3, 2013, Pages 483-495

  Wei, Ying ^a,b   Shen, Guo ^c   Li, Juan Juan ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

^c Philips and Neusoft Medical Systems Co Ltd   (China)

Author keywords

Bresenham algorithms; Computer aided diagnosis; Improved chain code; Lung parenchyma; Repairing; Segmentation; Thoracic CT image

Indexed keywords

BRESENHAM ALGORITHMS; CHAIN CODES; LUNG PARENCHYMA; REPAIRING; THORACIC CT;

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; ITERATIVE METHODS; REPAIR; THREE DIMENSIONAL;

BIOLOGICAL ORGANS;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; LUNG NODULE; PROCEDURES; RADIOGRAPHY; THREE DIMENSIONAL IMAGING; ARTICLE; METHODOLOGY;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84877741644     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-012-9528-9     Document Type: Article

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