Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

In this paper, we propose particle swarm optimization (PSO)-enhanced ensemble deep neural networks and hybrid clustering models for skin lesion segmentation. A PSO variant is proposed, which embeds diverse search actions including simulated annealing, levy flight, helix behavior, modified PSO, and d...

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Bibliographic Details
Main Authors: Teck Yan Tan, Li Zhang, Chee Peng Lim, Ben Fielding, Yonghong Yu, Emma Anderson
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
ensemble model
Fuzzy C-Means clustering
image segmentation
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/8660703/

Internet

https://ieeexplore.ieee.org/document/8660703/

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