Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI

Accurate classification of brain tumor subtypes is important for prognosis and treatment. Researchers are developing tools based on static and dynamic feature extraction and applying machine learning and deep learning. However, static feature requires further analysis to compute the relevance, stren...

Full description

Bibliographic Details

Published in:	Scientific reports Vol. 12; no. 1; p. 15389
Main Authors:	Hussain, Lal, Malibari, Areej A., Alzahrani, Jaber S., Alamgeer, Mohamed, Obayya, Marwa, Al-Wesabi, Fahd N., Mohsen, Heba, Hamza, Manar Ahmed
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 13-09-2022 Nature Publishing Group Nature Portfolio
Subjects:	631/67 692/700 Bayesian analysis Brain cancer Brain tumors Deep learning Entropy Humanities and Social Sciences Meningioma multidisciplinary Pituitary Prognosis Science Science (multidisciplinary)
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!