Detection of pulmonary nodules in CT images based on fuzzy integrated active contour model and hybrid parametric mixture model

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Li, Bin ^a   Chen, Kan ^a   Tian, Lianfang ^a   Yeboah, Yao ^a   Ou, Shanxing ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b GUANGZHOU GENERAL HOSPITAL OF GUANGZHOU MILITARY COMMAND   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; MIXTURES; SUPPORT VECTOR MACHINES;

COMPUTER AIDED DETECTION SYSTEMS; COMPUTERIZED TOMOGRAPHY IMAGES; COST-SENSITIVE SUPPORT VECTOR MACHINES; GEOMETRIC INFORMATION; INTEGRATED ACTIVE CONTOUR MODELS; INTENSITY INHOMOGENEITY; PARAMETRIC MIXTURE MODEL; SEGMENTATION METHODS;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; COST SENSITIVE SUPPORT VECTOR MACHINE; ENERGY; GEOMETRY; KNOWLEDGE; LUNG NODULE; MATHEMATICAL COMPUTING; MODEL; PARAMETRIC MIXTURE MODEL; SUPPORT VECTOR MACHINE; BIOLOGY; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; FUZZY LOGIC; HUMAN; KNOWLEDGE BASE; LABORATORY DIAGNOSIS; LUNG TUMOR; PROCEDURES; RADIOGRAPHY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY; VASCULARIZATION; METHODOLOGY; STATISTICS;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; FUZZY LOGIC; HUMANS; KNOWLEDGE BASES; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOLITARY PULMONARY NODULE; SUPPORT VECTOR MACHINES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84877280235     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/515386     Document Type: Article

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