International Conference on Recent Trends in Information Technology and Computer Science |
Foundation of Computer Science USA |
ICRTITCS - Number 2 |
March 2012 |
Authors: Priya Shetty, Varsha Turkar |
04234d54-a1d7-4eab-b5e2-b829b293e9e1 |
Priya Shetty, Varsha Turkar . Melanoma Decision Support System for Dermatologist. International Conference on Recent Trends in Information Technology and Computer Science. ICRTITCS, 2 (March 2012), 28-30.
Malignant melanoma is nowadays one of the leading cancers among many white-skinned populations around the world. Malignant melanoma, the most deadly form of skin cancer, has a good prognosis if treated in the curable early stages. Early diagnosis is the most effective treatment of melanoma. Well-trained dermatologists reach a high level of diagnostic accuracy but their performance is increased by using computer aided numerical imaging tools. This study is limited in the use of simple image processing algorithms, for the sake of clarity, in order to illustrate the use of MATLAB in the calculation of the ABCD Total Dermatoscopy Score (TDS) for potentially malignant melanomas. A high ABCD score means that a lesion is more likely to be a malignant melanoma.