Abstract
In this paper, a generic framework for skin lesion segmentation based on Interactive Evolutionary Computation (IEC) is presented. In this method, a set of segmentation parameters is interactively optimised to produce quality segmentation of skin lesion. Extensive experimental evaluation is carried out on a public dataset of 200 dermoscopic images. The performance of the proposed method is compared to several state-of-the-art techniques in skin lesion segmentation. The results show that the proposed method is superior in providing better segmentation performance.
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Acknowledgements
The authors would like to acknowledge the financial assistance provided by the Ministry of Education Malaysia through FRGS grant number 203/PELECT/6071305.
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Ooi, W.S., Khoo, B.E., Lim, C.P. (2019). An Interactive Evolutionary Multi-objective Approach to Skin Lesion Segmentation. In: Zawawi, M., Teoh, S., Abdullah, N., Mohd Sazali, M. (eds) 10th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-13-6447-1_81
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DOI: https://doi.org/10.1007/978-981-13-6447-1_81
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