id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-844	Ayesha Agrawal	Computational Predictions of MGMT Promoter Methylation in Gliomas: A Mathematical Radiogenomics Approach	2024	24	.pdf	application/pdf	8668	412	37	No. 4s (2024) 239 https://internationalpubls.com 3.4 Feature Selection Feature selection is a process of identifying and selecting the most important features in image datasets that helps to enhance the performance of machine learning models. Our mathematical approach ensures rigorous evaluation of model accuracy through sensitivity, specificity, and other performance metrics, presenting the Sequential FCNet ANN combined with ResNet50 as the superior model.	cache/cana-844.pdf	txt/cana-844.txt