Automated Skin Lesion Detection towards Melanoma

Authors

DOI:

https://doi.org/10.4108/eai.29-7-2019.159800

Keywords:

Skin Cancer, Melanoma, Image Processing, pre-processing, Segmentation, Dermoscopic Images

Abstract

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.

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Published

07-08-2019

How to Cite

1.
Bibi M, Hamid A, Tehseen S. Automated Skin Lesion Detection towards Melanoma. EAI Endorsed Scal Inf Syst [Internet]. 2019 Aug. 7 [cited 2024 Nov. 13];6(23):e6. Available from: https://publications.eai.eu/index.php/sis/article/view/2154