23 citations · 53 across the 6 of their papers we have counts for
11 papers
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan, Jiahong Wei, Guijie Zhu +2
The accurate retinal vessel segmentation (RVS) is of great significance to assist doctors in the diagnosis of ophthalmology diseases and other systemic diseases. Manually designing…
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Zhaojun Wang, Wenji Li +6
In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversit…
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network
Zhun Fan, Jiajie Mo, Benzhang Qiu +6
Retinal vessel segmentation is a crucial step in diagnosing and screening various diseases, including diabetes, ophthalmologic diseases, and cardiovascular diseases. In this paper,…
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
Zhun Fan, Wenji Li, Zhaojun Wang +6
This paper proposes a push and pull search method in the framework of differential evolution (PPS-DE) to solve constrained single-objective optimization problems (CSOPs). More spec…
Automated Strabismus Detection for Telemedicine Applications
Jiewei Lu, Zhun Fan, Ce Zheng +4
Strabismus is one of the most influential ophthalmologic diseases in human's life. Timely detection of strabismus contributes to its prognosis and treatment. Telemedicine, which ha…
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
Zhun Fan, Yi Fang, Wenji Li +3
This paper proposes a novel constraint-handling mechanism named angle-based constrained dominance principle (ACDP) embedded in a decomposition-based multi-objective evolutionary al…