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Hierarchical Classification of Ten Skin Lesion Classes

This paper presents a hierarchical classiﬁcation system based on the k-Nearest Neighbors (kNN) classiﬁer for classiﬁcation of ten different classes of Malignant and Benign skin lesions from color image data. Our key contribution is to focus on the ten most common classes of skin lesions. There are ﬁve malignant: Actinic Keratosis (AK), Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC), Melanoma (MEL), Intraepithelial Carcinoma (IEC) and ﬁve benign: Melanocytic Nevus / Mole (ML), Seborrhoeic Keratosis (SK), Dermatoﬁbroma (DF), Haemangioma (VASC), Pyogenic Granuloma (PYO). Moreover, we use only high resolution color images acquired using a standard camera (non-dermoscopy). Our image dataset contains 1300 lesions belonging to ten classes (45 AK, 331 ML, SK, MEL, DF, 24 PYO and 78 IEC).