Melanoma Detection System based on a Game Theory Model

Djamila Dahmani, Slimane Larabi, Sihame Djelouah, Nafissa Benhebbadj, Mehdi Cheref

2020

Abstract

We propose in this paper a new method for Melanoma detection (the most dangerous form of skin cancer) based on ABCD medical procedure. The ABCD features play a crucial role in the accuracy of diagnosis rates. However, the search for such distinctive data remains difficult, because of the small variability in the appearance of benign and cancerous skin lesions. To cope with this problem, each feature is calculated using different formulas. Then if all the used formulas agree about the lesion classification, it will be classified according to the full agreement. Otherwise, for doubtful pigmented skin lesions, the game theory model is applied for final decision. The game model proposed in our work, estimates that the conflict is between two agents (melanoma and non-melanoma). The different formulas applied in the computation of the features A, B, C, and D are the pure strategies. The value sign in the mixed extension of the game allows classifying correctly the skin lesion. The method was tested on two publically available databases PH2 and ISIC, the obtained results are promising.

Paper Citation

in Harvard Style

Dahmani D., Larabi S., Djelouah S., Benhebbadj N. and Cheref M. (2020). Melanoma Detection System based on a Game Theory Model. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 703-711. DOI: 10.5220/0008879807030711

in Bibtex Style

@conference{visapp20,
author={Djamila Dahmani and Slimane Larabi and Sihame Djelouah and Nafissa Benhebbadj and Mehdi Cheref},
title={Melanoma Detection System based on a Game Theory Model},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={703-711},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008879807030711},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Melanoma Detection System based on a Game Theory Model
SN - 978-989-758-402-2
AU - Dahmani D.
AU - Larabi S.
AU - Djelouah S.
AU - Benhebbadj N.
AU - Cheref M.
PY - 2020
SP - 703
EP - 711
DO - 10.5220/0008879807030711
PB - SciTePress