Scope
Certain skin diseases are chronic, inflammatory and without cure. However, there are many treatment options that can clear them for a period of time. Measuring their severity and assessing their extent, it is a fundamental issue to determine the efficacy of the treatment under test.
Two of the most important parameters of severity assessment are Erythema (redness) and Scaliness. Physicians classify these parameters into five grades on a scale from 0 to 4 (0 means no disease, 4 means maximal severity). The classification is made by visual grading method, therefore is a subjective measure.
A color image segmentation and classification algorithm is developed to get an objective assessment of erythema and scaliness of dermatological lesions. The algorithm separates lesion from healthy skin and the lesion is classified into the different grades of erythema and scaliness. Color digital photographs taken under an acquisition protocol form the database.
Collaborations
DERMATO. ALMA SYSTEMS S.L.
Funding
Dermato (PI-0563/2009)
Images
Publications
- Sáez ,A., Acha, B., Serrano, C., Segmentation and Classification of Dermatological Lesions. SPIE International Symposium on Medical Imaging. SPIE International Symposium on Medical Imaging (). San Diego, California (EE.UU.). SPIE. 2010. Pag. 76243L-1-76243L-8
