1. American Cancer Society: Lung Cancer. https://www.cancer.org/cancer/lung-cancer.html . Accessed 02 Nov 2017
2. Armato, S.G., McLennan, G., Bidaut, L., McNitt-Gray, M.F., Meyer, C.R., Reeves, A.P., et al.: The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med. Phys. 38(2), 915–931 (2011)
3. Armato, S.G., McLennan, G., McNitt-Gray, M.F., Meyer, C.R., Yankelevitz, D., Aberle, D.R., et al.: Lung image database consortium: developing a resource for the medical imaging research community. Radiology 232(3), 739–748 (2004)
4. Badura, P., Pietka, E.: Semi-automatic seed points selection in fuzzy connectedness approach to image segmentation. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds.) Advances in Intelligent and Soft Computing: Computer Recognition Systems, vol. 2(45), pp. 679–686 (2007)
5. Badura, P., Pietka, E.: Pre- and postprocessing stages in fuzzy connectedness-based lung nodule CAD. In: Pietka, E., Kawa, J. (eds.) Advances in Intelligent and Soft Computing: Information Technologies in Biomedicine, vol. 47, pp. 192–199 (2008)