Title | ||
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Estimation of an optimal spectral band combination to evaluate skin disease treatment efficacy using multi-spectral images |
Abstract | ||
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Clinical evaluation of skin treatments consists of two steps. First, the degree of the disease is measured clinically on a group of patients by dermatologists. Then, a statistical test is used on obtained set of measures to determine the treatment efficacy. In this paper, a method is proposed to automatically measure the severity of skin hyperpigmentation. After a classification step, an objective function is designed in order to obtain an optimal linear combination of bands defining the severity criterion. Then a hypothesis test is deployed on this combination to quantify treatment efficacy. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/ICIP.2011.6116253 | Image Processing |
Keywords | Field | DocType |
medical image processing,clinical evaluation,dermatologists,disease degree measurement,hypothesis test,multi-spectral images,optimal linear combination,optimal spectral band combination estimation,skin disease treatment efficacy,skin hyperpigmentation,statistical test,hyperpigmentation,hypothesis tests,multispectral,skin,t-test | Linear combination,Computer vision,Skin treatments,Pattern recognition,Computer science,Multispectral image,Skin hyperpigmentation,Artificial intelligence,Spectral bands,Multi spectral,Statistical hypothesis testing,Hyperpigmentation | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4577-1302-6 | 978-1-4577-1302-6 | 1 |
PageRank | References | Authors |
0.44 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sylvain Prigent | 1 | 20 | 3.32 |
Didier Zugaj | 2 | 35 | 4.56 |
Xavier Descombes | 3 | 693 | 79.43 |
Martel, P. | 4 | 6 | 1.14 |