A paper co-authored by Sidike Paheding, Applied Computing, has been published in the journal, IEEE Access. “Trends in Deep Learning for Medical Hyperspectral Image Analysis,” was available for early access on March 24, 2021. The paper discusses the implementation of deep learning for medical hyperspectral imaging. Co-authors of the paper are Uzair Khan, Colin Elkin, . . .
