Image Action Set

References

  • Armato, S. G., III, Drukker, K., Li, F., Hadjiiski, L., Tourassi, G. D., Engelmann, R. M., Giger, M. L., et al. (2016). “LUNGx Challenge for Computerized Lung Nodule Classification.” Journal of Medical Imaging 3:044506–1–044506–9.

  • Armato, S. G., III, Hadjiiski, L., Tourassi, G. D., Drukker, K., Giger, M. L., Li, F., Redmond, G., et al. (2015a). “Guest Editorial: LUNGx Challenge for Computerized Lung Nodule Classification: Reflections and Lessons Learned.” Journal of Medical Imaging 2:020103–1–020103–5.

  • Armato, S. G., III, Hadjiiski, L., Tourassi, G. D., Drukker, K., Giger, M. L., Li, F., Redmond, G., et al. (2015b). “SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset. The Cancer Imaging Archive.” http://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL.

  • Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., et al. (2013). “The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository.” Journal of Digital Imaging 26:1045–1057.

  • National Electrical Manufacturers Association (2018). “Digital Imaging and Communications in Medicine (DICOM) Standard.” http://medical.nema.org/.

  • Ramachandran, P., and Varoquaux, G. (2011). “Mayavi: 3D Visualization of Scientific Data.” IEEE Computing in Science and Engineering 13:40–51.

Last updated: September 15, 2022