Eigen nodule: view-based recognition of lung nodule in chest X-ray CT images using subspace method

@article{Nakamura2004EigenNV,
  title={Eigen nodule: view-based recognition of lung nodule in chest X-ray CT images using subspace method},
  author={Yoshihiko Nakamura and Gentaro Fukano and Hotaka Takizawa and Shinji Mizuno and Shinji Yamamoto and Toru Matsumoto and Yukio Tateno and Takeshi Iinuma},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={4},
  pages={681-684 Vol.4}
}
We previously proposed a recognition method of lung nodules based on the experimentally selected feature values (such as contrast, circularities, etc.) of pathological candidate regions detected by our Quoit filter. In this paper, we propose a new recognition method of lung nodule using each CT value itself in ROI (region of interest) area as a feature value. In the clustering stage, the pathological candidate regions are first classified into some clusters using the principal component (PC… CONTINUE READING