Analysis and Comparison of Kidney Stone Detection using Gaussian Maximum Likelihood Classifier and Bayesian Classifier with Improved Accuracy

Cardiometry

article

Kishore U.¹  Ramadevi R.¹ 

[1] Department of Biomedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University

关键词: Kidney Stone;    Image Classification;    Classifier;    Innovative Gaussian Maximum Likelihood Classifier;    Bayesian Classifier;    Machine Learning;   

DOI  :  10.18137/cardiometry.2022.25.799805

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05 hence there is a statistically insignificant difference between gaussian maximum likelihood classifiers and bayesian classifiers. Gaussian classifiers showed better results in comparison to Bayesian classifiers. Conclusion: Gaussian maximum likelihood classifiers showed better accuracy than Bayesian classifiers on kidney stone detection in a faster way.

【 授权许可】

CC BY