Automated Quantitative Analysis of Wound Histology Using Deep-Learning Neural Networks

J Invest Dermatol. 2021 May;141(5):1367-1370. doi: 10.1016/j.jid.2020.10.010. Epub 2020 Oct 26.

Authors

Jake D Jones¹, Kyle P Quinn²

Affiliations

¹ Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas, USA.
² Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas, USA. Electronic address: kyle@quinnlab.org.

No abstract available

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Deep Learning*
Humans
Neural Networks, Computer
Wound Healing
Wounds and Injuries / pathology*

Grants and funding