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An Interactive Evolutionary Multi-objective Approach to Skin Lesion Segmentation

  • Woi Seng Ooi
  • Bee Ee KhooEmail author
  • Chee Peng LimEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 547)

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.

Keywords

Multi-objective optimisation Interactive evolutionary computation (IEC) Visualised IEC (VIEC) Skin lesion image segmentation 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Electrical and Electronic EngineeringUniversity Science MalaysiaGeorge TownMalaysia
  2. 2.Institute for Intelligent Systems Research and InnovationDeakin UniversityGeelongAustralia

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