Hardware Inspired Neural Network for Efficient Time-Resolved Biomedical Imaging
Author:
Affiliation:
1. University of Strathclyde,Department of Biomedical Engineering,Glasgow,U.K.,G4 ORE
2. University of Strathclyde,Department of Physics,Glasgow,Scotland, UK,G4 ONG
Funder
Medical Research Scotland
BBSRC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871214.pdf?arnumber=9871214
Reference27 articles.
1. Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditions;chen;bioRxiv 2020 12 02 408195,2021
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4. Dynamic fluorescence lifetime sensing with CMOS single-photon avalanche diode arrays and deep learning processors
5. AdderNet: Do We Really Need Multiplications in Deep Learning?
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