A novel approach for lung nodules segmentation in chest CT using level sets

IEEE Transactions on Image Processing

Volumn 22, Issue 12, 2013, Pages 5202-5213

  Farag, Amal A ^a   Munim, Hossam E Abd El ^c   Graham, James H ^b   Farag, Aly A ^b  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b University of Louisville   (United States)

^c Ain Shams University   (Egypt)

Author keywords

level sets; Lung nodules; optimization; shape based segmentation; shape modeling; shape registration and alignment

Indexed keywords

LEVEL SET; LUNG NODULE; SHAPE MODEL; SHAPE REGISTRATION; SHAPE-BASED SEGMENTATIONS;

ALIGNMENT; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION;

IMAGE SEGMENTATION;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; LUNG; LUNG TUMOR; METHODOLOGY; RADIOGRAPHY; THORAX RADIOGRAPHY;

DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84886876972     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2282899     Document Type: Article

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