A Robust Computer-Aided Automated Brain Tumor Diagnosis Approach Using PSO-ReliefF Optimized Gaussian and Non-Linear Feature Space

Brain tumors are among the deadliest diseases in the modern world. This study proposes an optimized machine-learning approach for the detection and identification of the type of brain tumor (glioma, meningioma, or pituitary tumor) in brain images recorded using magnetic resonance imaging (MRI). The...

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Detalles Bibliográficos
Autores principales: Ali, Muhammad Umair, Kallu, Karam Dad, Masood, Haris, Hussain, Shaik Javeed, Ullah, Safee, Byun, Jong Hyuk, Zafar, Amad, Kim, Kawang Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782364/
https://www.ncbi.nlm.nih.gov/pubmed/36556401
http://dx.doi.org/10.3390/life12122036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782364/
https://www.ncbi.nlm.nih.gov/pubmed/36556401
http://dx.doi.org/10.3390/life12122036

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