(searched for: doi:10.1109/tmi.2020.3002244)
Published: 1 January 2020
by Elsevier BV
Computational and Structural Biotechnology Journal, Volume 18, pp 2312-2325; doi:10.1016/j.csbj.2020.08.003
Deep learning of artificial neural networks has become the de facto standard approach to solving data analysis problems in virtually all fields of science and engineering. Also in biology and medicine, deep learning technologies are fundamentally transforming how we acquire, process, analyze, and interpret data, with potentially far-reaching consequences for healthcare. In this mini-review, we take a bird’s-eye view at the past, present, and future developments of deep learning, starting from science at large, to biomedical imaging, and bioimage analysis in particular.