Nodule detection in 3D chest CT images using 2nd order autocorrelation features

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 6247-6249

  Hara, T ^a   Hirose, M ^a   Zhou, X ^a   Fujita, H ^a   Kiryu, T ^b   Yokoyama, R ^a   Hoshi, H ^b  

^a GIFU UNIVERSITY   (Japan)

^b GIFU UNIVERSITY HOSPITAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; CORRELATION METHODS; GENETIC ALGORITHMS; MEDICAL IMAGING; PATTERN RECOGNITION; REGRESSION ANALYSIS;

FALSE-POSITIVE MARKS; LUNG NODULES; NODULE DETECTION;

RESPIRATORY SYSTEM;

EID: 33846897489     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615924     Document Type: Conference Paper

References (2)

1. Y. Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki, "Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique," IEEE Trans. on Med. Imag., vol.20, no.7, pp.595-604, 2001.
2. Li Q, S. Katsuragawa, and K. Doi, "Computer-aided diagnostic scheme for lung nodule detection in digital chest radiographs by use of a multiple-template matching technique," Med. Phys. vol.28, no.10, pp2070-2076, 2001.