Nodule detection in 3D chest CT images using 2nd order autocorrelation features.
We have developed a new recognition approach using 2nd order autocorrelation and multi-regression analysis to detect a small (<7mm in diameter) lung nodules in chest 3D CT images. By combining our previous detection method of the template matching based on genetic algorithm, the detection performance was 94% true-positive rate at 2.05 false-positive marks per case using leave-one- out study.
Hara
T
T
department of Intelligent Image Information, Graduate School of Medicine, Gifu University, Gifu, Japan. hara@info.gifu-u.ac.jp
Hirose
M
M
Zhou
X
X
Fujita
H
H
Kiryu
T
T
Yokoyama
R
R
Hoshi
H
H