Shape-based computer-aided detection of lung nodules in thoracic CT images

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 7, 2009, Pages 1810-1820

  Ye, Xujiong ^a   Lin, Xinyu ^a   Dehmeshki, Jamshid ^a,b   Slabaugh, Greg ^a   Beddoe, Gareth ^a  

^a Medicsight PLC   (United Kingdom)

^b KINGSTON UNIVERSITY   (United Kingdom)

Author keywords

Antigeometric diffusion; Computer aided detection (CAD); CT; Expectation maximization; Lung nodule; Shape analysis

Indexed keywords

ANTIGEOMETRIC DIFFUSION; COMPUTER-AIDED DETECTION (CAD); CT; EXPECTATION-MAXIMIZATION; LUNG NODULE; SHAPE ANALYSIS;

BIOLOGICAL ORGANS; BLOOD VESSELS; COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; DIFFUSION; EIGENVALUES AND EIGENFUNCTIONS; MAPS; MAXIMUM PRINCIPLE; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; TOMOGRAPHY;

COMPUTATIONAL METHODS;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DIFFUSION; FUZZY SYSTEM; GEOMETRY; LABORATORY DIAGNOSIS; LUNG; LUNG NODULE; NORMAL DISTRIBUTION; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; LUNG NEOPLASMS; NORMAL DISTRIBUTION; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 67650862815     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2017027     Document Type: Article

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