Deep Learning in Biomedical Optics.

Lasers Surg Med

Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, 21218.

Published: August 2021

This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo microscopy, widefield endoscopy, optical coherence tomography, photoacoustic imaging, diffuse tomography, and functional optical brain imaging. For each of these domains, we summarize how deep learning has been applied and highlight methods by which deep learning can enable new capabilities for optics in medicine. Challenges and opportunities to improve translation and adoption of deep learning in biomedical optics are also summarized. Lasers Surg. Med. © 2021 Wiley Periodicals LLC.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273152PMC
http://dx.doi.org/10.1002/lsm.23414DOI Listing

Publication Analysis

Top Keywords

deep learning
20
biomedical optics
16
learning biomedical
8
imaging domains
8
deep
5
optics
5
biomedical
4
optics article
4
article reviews
4
reviews deep
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!