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.
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