D
Dong Zhao
Researcher at Changchun Normal University
Publications - 26
Citations - 911
Dong Zhao is an academic researcher from Changchun Normal University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 6 publications receiving 271 citations.
Papers
More filters
Journal ArticleDOI
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
Dong Zhao,Lei Liu,Fanhua Yu,Ali Asghar Heidari,Ali Asghar Heidari,Mingjing Wang,Guoxi Liang,Khan Muhammad,Huiling Chen +8 more
TL;DR: An excellent multi-threshold image segmentation method using a random spare strategy and chaotic intensification strategy and improved selection mechanism to effectively augment the ability to step out of LO and to refine the convergence accuracy is proposed.
Journal ArticleDOI
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
Dong Zhao,Lei Liu,Fanhua Yu,Ali Asghar Heidari,Ali Asghar Heidari,Mingjing Wang,Diego Oliva,Diego Oliva,Khan Muhammad,Huiling Chen +9 more
TL;DR: This in-depth research introduced horizontal crossover search and vertical crossover search into the ACOR and improved the selection mechanism of the original ACOR to form an improved algorithm (CCACO) for the first time.
Journal ArticleDOI
An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach
Zhennao Cai,Jianhua Gu,Caiyun Wen,Dong Zhao,Chunyu Huang,Hui Huang,Changfei Tong,Jun Li,Huiling Chen +8 more
TL;DR: An enhanced fuzzy k-nearest neighbor (FKNN) method for the early detection of PD based upon vocal measurements was developed, and simulation results indicated the proposed approach outperformed the other five FKNN models based on BFO, particle swarm optimization, Genetic algorithms, fruit fly optimization, and firefly algorithm.
Journal ArticleDOI
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
Ailiang Qi,Dong Zhao,Fanhua Yu,Ali Heidari,Zongda Wu,Zhennao Cai,Fayadh Alenezi,Romany F. Mansour,Huiling Chen,Mayun Chen +9 more
TL;DR: Wang et al. as mentioned in this paper presented a new multilevel image segmentation method based on the swarm intelligence algorithm (SIA) to enhance the segmentation of COVID-19 X-rays.
Journal ArticleDOI
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
Hang Su,Dong Zhao,Hela Elmannai,Ali Heidari,Sami Bourouis,Zongda Wu,Zhennao Cai,Wenyong Gui,Mayun Chen +8 more
TL;DR: Wang et al. as mentioned in this paper proposed a multilevel thresholding image segmentation (MTIS) method based on an enhanced multiverse optimizer (CCMVO), which has a more assertive global search ability and can jump out of the local optimum in optimization.