The Relationship between Intelligent Image Simulation and Recognition Technology and the Health Literacy and Quality of Life of the Elderly
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Relationship between Intelligent Image Simulation and Recognition Technology and the Health Literacy and Quality of Life of the Elderly
Authors
Keywords
-
Journal
Contrast Media & Molecular Imaging
Volume 2022, Issue -, Pages 1-9
Publisher
Hindawi Limited
Online
2022-02-24
DOI
10.1155/2022/9984873
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Noise distance driven fuzzy clustering based on adaptive weighted local information and entropy-like divergence kernel for robust image segmentation
- (2021) Chengmao Wu et al. DIGITAL SIGNAL PROCESSING
- A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation
- (2021) Chengmao Wu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Sustainable Business Model Based on Digital Twin Platform Network: The Inspiration from Haier’s Case Study in China
- (2020) Xiao Li et al. Sustainability
- A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation
- (2020) Nabanita Mahata et al. APPLIED SOFT COMPUTING
- Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces
- (2020) Shaswati Roy et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A novel fuzzy clustering based bias field correction technique for brain magnetic resonance images
- (2020) Pranaba Mishro et al. IET Image Processing
- Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis
- (2020) Zhenya Wang et al. RENEWABLE ENERGY
- Variability and reproducibility in deep learning for medical image segmentation
- (2020) Félix Renard et al. Scientific Reports
- Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging
- (2020) Seung Hoon Yoo et al. Frontiers in Medicine
- Fringe projection profilometry by conducting deep learning from its digital twin
- (2020) Yi Zheng et al. OPTICS EXPRESS
- Recent Advances on Dynamical Behaviors of Coupled Neural Networks With and Without Reaction–Diffusion Terms
- (2020) Jin-Liang Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach
- (2020) Saravanan Alagarsamy et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
- (2019) Pandia Rajan Jeyaraj et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation
- (2019) Yizhang Jiang et al. JOURNAL OF MEDICAL SYSTEMS
- Integrating fuzzy entropy clustering with an improved PSO for MRI brain image segmentation
- (2018) Thuy Xuan Pham et al. APPLIED SOFT COMPUTING
- A Fuzzy clustering based MRI brain image segmentation using back propagation neural networks
- (2018) C. Senthilkumar et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation
- (2018) Feng Zhao et al. NEUROCOMPUTING
- A Robust Fuzzy c-Means Clustering Model with Spatial Constraint for Brain Magnetic Resonance Image Segmentation
- (2018) Jianhua Song et al. Journal of Medical Imaging and Health Informatics
- Distributed online semi-supervised support vector machine
- (2018) Ying Liu et al. INFORMATION SCIENCES
- Iterative spatial fuzzy clustering for 3D brain magnetic resonance image supervoxel segmentation
- (2018) Youyong Kong et al. JOURNAL OF NEUROSCIENCE METHODS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now