Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique

IEEE Transactions on Medical Imaging

Volumn 20, Issue 7, 2001, Pages 595-604

  Lee, Yongbum ^a   Hara, Takeshi ^b   Fujita, Hiroshi ^b   Itoh, Shigeki ^c   Ishigaki, Takeo ^d  

^a NIIGATA UNIVERSITY   (Japan)

^b GIFU UNIVERSITY   (Japan)

^c NAGOYA UNIVERSITY   (Japan)

^d NAGOYA UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

Chest helical CT images; Computer aided diagnosis; Genetic algorithm; Pulmonary nodule; Template matching

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; FEATURE EXTRACTION; GENETIC ALGORITHMS; PATTERN MATCHING; PROBABILITY DISTRIBUTIONS; RESPIRATORY SYSTEM; TISSUE;

GAUSSIAN DISTRIBUTION; HELICAL COMPUTERIZED TOMOGRAPHY; PULMONARY NODULE; TEMPLATE MATCHING;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; GENETICS; HUMAN; LABORATORY DIAGNOSIS; LUNG TUMOR; METHODOLOGY; NORMAL DISTRIBUTION; RADIOGRAPHY; REFERENCE VALUE;

ALGORITHMS; FALSE POSITIVE REACTIONS; HUMANS; LUNG NEOPLASMS; NORMAL DISTRIBUTION; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REFERENCE VALUES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0035384869     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.932744     Document Type: Article

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