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Title: Automatic nailfold capillary measurement and classification
Author: Feng, Kaiyan
ISNI:       0000 0001 3459 2946
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2009
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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:  DOI: Not available