TY - GEN
T1 - Computer aided diagnosis system for pulmonary nodules using hierarchical feature extraction
AU - Takei, K.
AU - Homma, N.
AU - Ishibashi, T.
AU - Sakai, M.
AU - Yoshizawa, M.
AU - Abe, K.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - In this paper, we propose a new diagnosis method of pulmonary nodules in CT images to reduce false positive rate (FP) for a high true positive rate (TP) conditions. An essential core of the method is in its hierarchical feature extraction. In the 1st stage, novel orientation features of nodules in a small region of interest (ROI) are extracted in addition to several conventional features, while a more structural feature of a surrounding area of the ROI is extracted in the 2nd stage. Without the orientation features, when TP was 90%, FP was about 65% and 55% in the 1st and 2nd stage, respectively. On the other hand, using the orientation features, FP was about 15% and only 5% in the 1st and 2nd stages, respectively. These improvement of the discrimination rate clearly demonstrates the effectiveness of the proposed hierarchical method on the nodules diagnosis.
AB - In this paper, we propose a new diagnosis method of pulmonary nodules in CT images to reduce false positive rate (FP) for a high true positive rate (TP) conditions. An essential core of the method is in its hierarchical feature extraction. In the 1st stage, novel orientation features of nodules in a small region of interest (ROI) are extracted in addition to several conventional features, while a more structural feature of a surrounding area of the ROI is extracted in the 2nd stage. Without the orientation features, when TP was 90%, FP was about 65% and 55% in the 1st and 2nd stage, respectively. On the other hand, using the orientation features, FP was about 15% and only 5% in the 1st and 2nd stages, respectively. These improvement of the discrimination rate clearly demonstrates the effectiveness of the proposed hierarchical method on the nodules diagnosis.
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M3 - Conference contribution
AN - SCOPUS:78549283481
SN - 9784990288013
T3 - Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07
SP - 390
EP - 393
BT - Proceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
T2 - 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
Y2 - 25 January 2007 through 27 January 2007
ER -