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Intelligent image analysis software for application in bioscience research
Reference
BIF08658
Principal Investigator / Supervisor
Professor Chris Taylor
Co-Investigators /
Co-Supervisors
Professor Alan Crossman
Institution
The University of Manchester
Department
Medical and Human Sciences
Funding type
Research
Value (£)
136,415
Status
Completed
Type
Research Grant
Start date
01/04/1998
End date
30/09/2001
Duration
42 months
Abstract
The aim of the proposed project is to develop intelligent image analysis software for use with images of biological material. Over the past decade, advances in imaging technology and a substantial shift from qualitative to quantitative research methods have established quantitative image analysis as an important enabling technology. Unfortunately, existing systems are inflexible and lack the intelligence to achieve reliable results without human intervention - particularly for 3-D images. Our approach is to develop a system which can learn how to perform the required analysis by `observing' a user as he/she outlines and names structures or regions of interest and defines the measurements required. The project will apply the results of recent work on statistical modelling of shape and grey-level appearance.
Summary
unavailable
Committee
Not funded via Committee
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
Bioinformatics (BIF) [1995-1997]
Funding Scheme
X – not Funded via a specific Funding Scheme
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