TY - GEN
T1 - Recognition of lung cancers on CT using 3-D object models of different classes
AU - Takizawa, Hotaka
AU - Yamamoto, Shinji
AU - Shiina, Tsuyoshi
PY - 2009
Y1 - 2009
N2 - The present paper describes a recognition method of pulmonary nodules in thoracic CT scans by use of 3- D spherical and cylindrical models that represent nodules (i.e. possible cancers) and blood vessels, respectively. The anatomical validity of these object models and their fidelity to CT scans are evaluated based on the Bayes theorem. The nodule recognition is employed by the maximum a posteriori estimation. The proposed method is applied to actual CT scans, and experimental results are shown.
AB - The present paper describes a recognition method of pulmonary nodules in thoracic CT scans by use of 3- D spherical and cylindrical models that represent nodules (i.e. possible cancers) and blood vessels, respectively. The anatomical validity of these object models and their fidelity to CT scans are evaluated based on the Bayes theorem. The nodule recognition is employed by the maximum a posteriori estimation. The proposed method is applied to actual CT scans, and experimental results are shown.
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M3 - Conference contribution
AN - SCOPUS:84872717367
SN - 9784901122092
T3 - Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
SP - 257
EP - 260
BT - Proceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
T2 - 11th IAPR Conference on Machine Vision Applications, MVA 2009
Y2 - 20 May 2009 through 22 May 2009
ER -