Cargando…
Constructing the Schizophrenia Recognition Method Employing GLCM Features from Multiple Brain Regions and Machine Learning Techniques
Accurately diagnosing schizophrenia, a complex psychiatric disorder, is crucial for effectively managing the treatment process and methods. Various types of magnetic resonance (MR) images have the potential to serve as biomarkers for schizophrenia. The aim of this study is to numerically analyze dif...
Autores principales: | Gengeç Benli, Şerife, Andaç, Merve |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340621/ https://www.ncbi.nlm.nih.gov/pubmed/37443534 http://dx.doi.org/10.3390/diagnostics13132140 |
Ejemplares similares
-
Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers
por: Godbin, A. Beena, et al.
Publicado: (2022) -
Distinguishing Parkinson’s Disease with GLCM Features from the Hankelization of EEG Signals
por: Karakaş, Mehmet Fatih, et al.
Publicado: (2023) -
A comparative study of Machine Learning-based classification of Tomato fungal diseases: Application of GLCM texture features
por: Nyasulu, Chimango, et al.
Publicado: (2023) -
Secondary Pulmonary Tuberculosis Recognition by 4-Direction Varying-Distance GLCM and Fuzzy SVM
por: Zhang, Yu-Dong, et al.
Publicado: (2022) -
Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring
por: Mousavi, Seyed Mortaza, et al.
Publicado: (2021)