ABSTRACT

Objective:

Design and implementation of a medical image processing system that will provide decision support to the clinician in the diagnosis of melanoma type skin cancers by performing the analysis of dermoscopic images.

Methods:

Visual features of pigmented lesions are converted into measurable numerical quantities by employing digital image processing methods and a classification regarding melanoma diagnosis is performed based on these quantitative data.

Results:

We achieved numerical results showing asymmetry, border and color features of the pigmentary lesions by using segmentation, image histogram, thresholding, convex hull, color clustering, color quantization and distribution methods.

Conclusion:

The system under development speeds up the decision process of the clinician. In addition, it allows the diagnosis to be based on more objective data.