Intrinsic Melanin and Hemoglobin Colour Componentsfor Skin Lesion Malignancy Detection

Tu-1-MU-33

Ali Madooei, Mark S. Drew, Maryam Sadeghi, and M. Stella AtkinsSchool of Computing Science, Simon Fraser University

We have proposed a new colour-space formation which is aimed at apprehending underlyingmelanin and hemoglobin biological components of dermoscopy images of skin lesions.

The new colour-space is used in supervised learning to achieve excellent malignant vs. benign skin lesion classification and skin lesion segmentation.

Feature Extraction Malignant vs. BenignPrecision: 0.894Recall: 0.894F-measure: 0.894AUC: 0.953

Logistic Classifier

Separation of underlying

Melanin Hemoglobin

Geo-mean

Lesion SegmentationPrecision: 0.89Recall: 0.90F-measure: 0.89

Otsu

Dermoscopy Image of Melanoma

Imaging Model

ICA

Dermoscopy Image of Melanoma The most severe and potentially fatal form of Malignant skin cancer

We have proposed a new colour-space formation which is aimed at apprehending underlyingmelanin and haemoglobin biological components of dermoscopy images of skin lesions.

The new colour-space is used in supervised learning to achieve excellent malignant vs. benign skin lesion classification and skin lesion segmentation.