Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493417
Title: Automatic nailfold capillary measurement and classification
Author: Feng, Kaiyan
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2009
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Abstract:
This project is about analysing a disease called Raynaud's phenomenon using nailfold capillary images taken by a microscope. We have two goals to achieve - to analyse the relationship between capillary features, and assign a disease class to an image based upon its features.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.493417  DOI: Not available
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