Melanoma thickness;dermoscopic image;machine learning;nominal classification;ordinal classification

Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images

Thickness of the melanoma is the most important factor associated with survival in patients with melanoma. It is most commonly reported as a measurement of depth given in millimeters (mm) and computed by means of pathological examination after a …