Sailfish optimizer with Levy flight, chaotic and opposition-based multi-level thresholding for medical image segmentation
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sailfish optimizer with Levy flight, chaotic and opposition-based multi-level thresholding for medical image segmentation
Authors
Keywords
-
Journal
SOFT COMPUTING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-04-14
DOI
10.1007/s00500-023-07891-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Chaotic multi verse improved Harris hawks optimization (CMV-IHHO) facilitated multiple level set model with an ideal energy active contour for an effective medical image segmentation
- (2022) Rangu Srikanth et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Survey of Learning-Based Intelligent Optimization Algorithms
- (2021) Wei Li et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- An accurate Cluster chaotic optimization approach for digital medical image segmentation
- (2021) Omar Avalos et al. NEURAL COMPUTING & APPLICATIONS
- Optimal allocation of EV charging spots and capacitors in distribution network improving voltage and power loss by Quantum-Behaved and Gaussian Mutational Dragonfly Algorithm (QGDA)
- (2021) P. Rajesh et al. ELECTRIC POWER SYSTEMS RESEARCH
- Power system hybrid dynamic economic emission dispatch with wind energy based on improved sailfish algorithm
- (2021) Ling-Ling Li et al. Journal of Cleaner Production
- Rubber bushing optimization by using a novel chaotic krill herd optimization algorithm
- (2021) Halil Bilal et al. SOFT COMPUTING
- An efficient integration and control approach to increase the conversion efficiency of high-current low-voltage DC/DC converter
- (2021) P. Rajesh et al. Energy Systems-Optimization Modeling Simulation and Economic Aspects
- FPGA Realization of a Reversible Data Hiding Scheme for 5G MIMO-OFDM System by Chaotic Key Generation-Based Paillier Cryptography Along with LDPC and Its Side Channel Estimation Using Machine Learning Technique
- (2021) Francis H. Shajin et al. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
- A parallel chaotic sailfish optimization algorithm for estimation of DOA in wireless sensor array
- (2021) Geetha P. et al. Physical Communication
- DENSE-INception U-net for medical image segmentation
- (2020) Ziang Zhang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task
- (2020) Zichen Zhang et al. NEUROCOMPUTING
- Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator
- (2020) Mahsa kelidari et al. Soft Computing
- A hybrid fuzzy brain-storm optimization algorithm for the classification of brain tumor MRI images
- (2020) C. Narmatha et al. Journal of Ambient Intelligence and Humanized Computing
- Elephant Herding Optimization: Variants, Hybrids, and Applications
- (2020) Juan Li et al. Mathematics
- Monarch butterfly optimization: A comprehensive review
- (2020) Yanhong Feng et al. EXPERT SYSTEMS WITH APPLICATIONS
- Opposition-based multi-objective whale optimization algorithm with global grid ranking
- (2019) Wan Liang Wang et al. NEUROCOMPUTING
- AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation
- (2019) Maria Baldeon-Calisto et al. NEUROCOMPUTING
- An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation
- (2019) Omid Tarkhaneh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Robust abdominal organ segmentation using regional convolutional neural networks
- (2018) Måns Larsson et al. APPLIED SOFT COMPUTING
- Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks
- (2018) Eli Gibson et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks
- (2018) Xiaoming Liu et al. JOURNAL OF DIGITAL IMAGING
- Chaotic firefly algorithm-based fuzzy C-means algorithm for segmentation of brain tissues in magnetic resonance images
- (2018) Partha Ghosh et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Optimal Multilevel Thresholding Selection for Brain MRI Image Segmentation based on Adaptive Wind Driven Optimization
- (2018) Kotte sowjanya et al. MEASUREMENT
- A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
- (2017) Amal Farag et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration
- (2017) Marie Bieth et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic gallbladder segmentation using combined 2D and 3D shape features to perform volumetric analysis in native and secretin-enhanced MRCP sequences
- (2017) Oliver Gloger et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- 3D deeply supervised network for automated segmentation of volumetric medical images
- (2017) Qi Dou et al. MEDICAL IMAGE ANALYSIS
- Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets
- (2016) Peijun Hu et al. International Journal of Computer Assisted Radiology and Surgery
- Chromatic methodology for laser detection and ranging (LADAR) image description
- (2015) Ali A. Al-Temeemy et al. OPTIK
- Multilevel thresholding for segmentation of medical brain images using real coded genetic algorithm
- (2013) S. Manikandan et al. MEASUREMENT
- Lung segmentation in chest radiographs by fusing shape information in iterative thresholding
- (2011) A. Dawoud IET Computer Vision
- Amended bacterial foraging algorithm for multilevel thresholding of magnetic resonance brain images
- (2011) P.D. Sathya et al. MEASUREMENT
- R. Klages, G. Radons, I.M. Sokolov (eds.): Anomalous Transport: Foundations and Applications
- (2009) George H. Weiss JOURNAL OF STATISTICAL PHYSICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started