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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.
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Event
Robotics, Vision, Signal Processing and Power Applications. Conference (2018 : 10th : Penang, Malaysia)Series
Lecture Notes in Electrical Engineering; v.547Pagination
641 - 647Publisher
SpringerLocation
Penang, MalaysiaPlace of publication
Berlin, GermanyPublisher DOI
Start date
2018-08-14End date
2018-08-15ISSN
1876-1100eISSN
1876-1119ISBN-13
9789811364464Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
M Adzhar Md Zawawi, S Teoh, N Binti Abdullah, M SazaliTitle of proceedings
ROVISP 2018 : 10th International Conference on Robotics, Vision, Signal Processing and Power Applications : Enabling Research and Innovation Towards SustainabilityUsage metrics
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