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Machine Learning Techniques for Evaluating Disease and Drug Effectiveness in Fibre-Bundle Endo Microscopy Systems
Hopgood, James
(Principal Investigator)
School of Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Active
Effective start/end date
1/03/21
→
28/02/25
Funding
UK industry, commerce and public corporations:
£50,000.00
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Domains
Computer Science
100%
Application
Computer Science
100%
Machine Learning
Computer Science
100%
Learning
Medicine and Dentistry
100%
Lifespan
Medicine and Dentistry
100%
Medical Imaging
Computer Science
33%
Image Analysis
Computer Science
33%
Models
Computer Science
16%
Research output
Research output per year
2024
2024
2024
1
Article
Research output per year
Research output per year
Applications of Machine Learning in time-domain Fluorescence Lifetime Imaging: A Review
Gouzou, D.
,
Taimori, A.
,
Haloubi, T.
,
Finlayson, N.
,
Wang, Q.
,
Hopgood, J. R.
&
Vallejo, M.
,
1 Apr 2024
,
In:
Methods and Applications in Fluorescence.
12
,
2
, 022001.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Application
100%
Machine Learning
100%
Domains
100%
Learning
100%
Lifespan
100%