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Automatic Severity Assessment of Hand Eczema

Havinga, T.S. (2010) Automatic Severity Assessment of Hand Eczema. Master's Thesis / Essay, Computing Science.

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Abstract

The classification of hand dermatitis (HD) images is an area in which multiple attempts have been made to provide a good manual classification scheme. These methods vary in their approach by the degree of complexity and the range of output classifications. This paper tries to provide a computer severity assessment, based on photographs of the hand, which should become an aid to the dermatologists to make reliable severity assessments. Different classification methods and regression methods are tested, as well as different colour bands, to come to an optimal severity assessment. The error made by this severity assessment is compared to the error made by the dermatologists, to see if the proposed severity assessment can compete with that of the dermatologists. Using the L*a*b* colour space as best tested colour space, bagged regression trees and the recent Limited Rank GMLVQ method prove to be valuable regression methods. They are favourable over classification methods and approach the error made by the dermatologists themselves within 13 %.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:44
Last Modified: 15 Feb 2018 07:44
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9330

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