Chai Hong Yeong
Orcid: 0000-0003-1572-4143
According to our database1,
Chai Hong Yeong
authored at least 14 papers
between 2016 and 2024.
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Bibliography
2024
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.
Expert Syst. J. Knowl. Eng., May, 2024
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023).
Comput. Biol. Medicine, 2024
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review.
IEEE Access, 2024
2022
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study.
Int. J. Imaging Syst. Technol., 2022
2021
Multivariate Regression Between Hounsfield Unit Shift, Tissue Temperature, and Tissue Contraction: A Feasibility Study of Computed Tomography Thermometry.
IEEE Trans. Instrum. Meas., 2021
2020
A Temperature-Controlled Laser Hot Needle With Grating Sensor for Liver Tissue Tract Ablation.
IEEE Trans. Instrum. Meas., 2020
Automated detection of Alzheimer's disease using bi-directional empirical model decomposition.
Pattern Recognit. Lett., 2020
2019
Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques.
J. Medical Syst., 2019
2018
Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.
Comput. Methods Programs Biomed., 2018
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.
Comput. Biol. Medicine, 2018
Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features.
Comput. Biol. Medicine, 2018
2017
Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques.
Comput. Biol. Medicine, 2017
Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm.
Biomed. Signal Process. Control., 2017
2016
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images.
Comput. Biol. Medicine, 2016