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An interactive evolutionary multi-objective approach to skin lesion segmentation

Version 2 2024-06-06, 08:10
Version 1 2019-01-01, 00:00
conference contribution
posted on 2024-06-06, 08:10 authored by WS Ooi, BE Khoo, Chee 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.

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Location

Penang, Malaysia

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

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

Pagination

641-647

Start date

2018-08-14

End date

2018-08-15

ISSN

1876-1100

eISSN

1876-1119

ISBN-13

9789811364464

Title of proceedings

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

Event

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

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Electrical Engineering; v.547

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