On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology

Comment

Issam El Naqa et al. Int J Radiat Oncol Biol Phys. 2018.

. 2018 Jan 1;100(1):1-4.

doi: 10.1016/j.ijrobp.2017.06.011.

No abstract available

Comment on

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
Moeskops P, Viergever MA, Mendrik AM, de Vries LS, Benders MJ, Isgum I. Moeskops P, et al. IEEE Trans Med Imaging. 2016 May;35(5):1252-1261. doi: 10.1109/TMI.2016.2548501. Epub 2016 Mar 30. IEEE Trans Med Imaging. 2016. PMID: 27046893
Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.
Valdes G, Solberg TD, Heskel M, Ungar L, Simone CB 2nd. Valdes G, et al. Phys Med Biol. 2016 Aug 21;61(16):6105-20. doi: 10.1088/0031-9155/61/16/6105. Epub 2016 Jul 27. Phys Med Biol. 2016. PMID: 27461154 Free PMC article.
Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.
Pota M, Scalco E, Sanguineti G, Farneti A, Cattaneo GM, Rizzo G, Esposito M. Pota M, et al. Artif Intell Med. 2017 Sep;81:41-53. doi: 10.1016/j.artmed.2017.03.004. Epub 2017 Mar 18. Artif Intell Med. 2017. PMID: 28325604