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An interactive evolutionary multi-objective approach to skin lesion segmentation

conference contribution
posted on 2019-01-01, 00:00 authored by W S Ooi, B E Khoo, Chee Peng LimChee Peng Lim
© Springer Nature Singapore Pte Ltd. 2019. 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.

History

Event

Robotics, Vision, Signal Processing and Power Applications. Conference (2018 : 10th : Penang, Malaysia)

Series

Lecture Notes in Electrical Engineering; v.547

Pagination

641 - 647

Publisher

Springer

Location

Penang, Malaysia

Place of publication

Berlin, Germany

Start date

2018-08-14

End date

2018-08-15

ISSN

1876-1100

eISSN

1876-1119

ISBN-13

9789811364464

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

M Adzhar Md Zawawi, S Teoh, N Binti Abdullah, M Sazali

Title of proceedings

ROVISP 2018 : 10th International Conference on Robotics, Vision, Signal Processing and Power Applications : Enabling Research and Innovation Towards Sustainability

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