A primer for understanding radiology articles about machine learning and deep learning
Diagn Interv Imaging . 2020 Dec;101(12):765-770. doi: 10.1016/j.diii.2020.10.001. Epub 2020 Oct 26.
Takeshi Nakaura, Toru Higaki, Kazuo Awai, Osamu Ikeda, Yasuyuki Yamashita
The application of machine learning and deep learning in the field of imaging is rapidly growing. Although the principles of machine and deep learning are unfamiliar to the majority of clinicians, the basics are not so complicated. One of the major issues is that commentaries written by experts are difficult to understand, and are not primarily written for clinicians. The purpose of this article was to describe the different concepts behind machine learning, radiomics, and deep learning to make clinicians more familiar with these techniques.
Read Full Article Here: https://doi.org/10.1016/j.diii.2020.10.001