Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification

@inproceedings{Liu2015ResearchOA,
  title={Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification},
  author={Hui Liu and Caiming Zhang and Zhi-Yuan Su and Kai Wang and Kai Deng},
  booktitle={Comp. Math. Methods in Medicine},
  year={2015}
}
The key problem of computer-aided diagnosis (CAD) of lung cancer is to segment pathologically changed tissues fast and accurately. As pulmonary nodules are potential manifestation of lung cancer, we propose a fast and self-adaptive pulmonary nodules segmentation method based on a combination of FCM clustering and classification learning. The enhanced spatial function considers contributions to fuzzy membership from both the grayscale similarity between central pixels and single neighboring… CONTINUE READING