Segmentation of pulmonary nodules in thoracic CT scans: A region growing approach

IEEE Transactions on Medical Imaging

Volumn 27, Issue 4, 2008, Pages 467-480

  Dehmeshki, Jamshid ^a,b   Amin, Hamdan ^c   Valdivieso, Manlio ^c   Ye, Xujiong ^c  

^a IEEE

^b KINGSTON UNIVERSITY   (United Kingdom)

^c Medicsight PLC   (United Kingdom)

Author keywords

Fuzzy connectivity; Local adaptive segmentation; Nodule segmentation; Region growing

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; FUZZY SETS; MEDICAL IMAGING; RADIOLOGY;

FUZZY CONNECTIVITY; LOCAL ADAPTIVE SEGMENTATION; NODULE SEGMENTATION; REGION GROWING;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; LUNG COIN LESION; LUNG TUMOR; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COIN LESION, PULMONARY; HUMANS; LUNG NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 41649099132     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.907555     Document Type: Article

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