Thematic Case Reviews
In these thematic reviews, the organisation and presentation of cases will be based on the latest educational research, including literature exploring the role of expertise in radiologic image interpretation; how to promote active learning in radiology trainees, and activities to simulate how experts through deliberate practice generate a holistic high-level representation of the image, which then fine-tunes the perception of potential lesions. These reviews will leverage on the large database of online published and unpublished (at the moment) "normal" and "abnormal" cases. Selected use of didactic instructional videos will be included.
Saturday, 25 May 2019
Andreas Maier, Christopher Syben, Tobias Lasser, Christian Riess, A gentle introduction to deep learning in medical image processing, Zeitschrift für Medizinische Physik, Volume 29, Issue 2, 2019, Pages 86-101, ISSN 0939-3889, https://doi.org/10.1016/j.zemedi.2018.12.003.
Lakhani, P., Gray, D. L., Pett, C. R., Nagy, P., & Shih, G. (2018). Hello World Deep Learning in Medical Imaging. Journal of digital imaging, 31(3), 283–289. doi:10.1007/s10278-018-0079-6