Automated Skin Lesion Detection towards Melanoma

Bibi, Maryam and Hamid, Anmol and Tehseen, Samabia (2019) Automated Skin Lesion Detection towards Melanoma. EAI Endorsed Transactions on Scalable Information Systems, 6 (23): e6. ISSN 2032-9407

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Skin cancer melanoma is one of the most dangerous cancers in the world. It is crucial to diagnose it in initial phases before it invades other organs. However, it requires an efficient and reliable diagnostic computer aided system for early detection. In this research study we aim to detect the skin cancer from two different image datasets. We also present the solution for images that contain disk objects. In initial phase we perform pre-processing, which is followed by segmentation phase. Then candidate dataset is evaluated using different measures such as accuracy, specificity, sensitivity and similarity. Obtained results are compared with results of techniques used in academic literature. We claim that our techniques give better accuracy for cancer detection.

Item Type: Article
Uncontrolled Keywords: Skin Cancer, Melanoma, Image Processing, pre-processing, Segmentation, Dermoscopic Images
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 08 Oct 2020 13:54
Last Modified: 08 Oct 2020 13:54

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