Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features.

@article{Way2009ComputeraidedDO,
  title={Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features.},
  author={Ted Way and Berkman Sahiner and Heang-Ping Chan and Lubomir M. Hadjiiski and Philip Cascade and Aamer Chughtai and Naama Bogot and Ella A. Kazerooni},
  journal={Medical physics},
  year={2009},
  volume={36 7},
  pages={3086-98}
}
The purpose of this work is to develop a computer-aided diagnosis (CAD) system to differentiate malignant and benign lung nodules on CT scans. A fully automated system was designed to segment the nodule from its surrounding structured background in a local volume of interest (VOI) and to extract image features for classification. Image segmentation was performed with a 3D active contour method. The initial contour was obtained as the boundary of a binary object generated by k-means clustering… CONTINUE READING