Automatic detection of lung nodules in temporal subtraction image by use of shape and density features

2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Volumn , Issue , 2009, Pages 1288-1292

  Miyake, Noriaki ^a   Kim, Hyoungseop ^a   Itai, Yoshinori ^a   Tan, Joo Kooi ^a   Ishikawa, Seiji ^a   Katsuragawa, Shigehiko ^b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b KUMAMOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATIC DETECTION; COMPUTED TOMOGRAPHY; DENSITY FEATURES; FALSE POSITIVE; LUNG NODULE; MATCHING TECHNIQUES; MEDICAL FIELDS; MEDICAL IMAGES; MULTIPLE THRESHOLD; PIXEL VALUES; RULE-BASED METHOD; SELECTIVE ENHANCEMENT FILTER; SMALL NODULES; STATISTICAL FEATURES; SUPPORTING SYSTEMS; TEMPORAL SUBTRACTION; VISUAL SCREENING;

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY;

NEURAL NETWORKS;

EID: 77951484606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.118     Document Type: Conference Paper

References (11)

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