Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability

Hyperparameter tuning plays a pivotal role in the accuracy and reliability of convolutional neural network (CNN) models used in brain tumor diagnosis. These hyperparameters exert control over various aspects of the neural network, encompassing feature extraction, spatial resolution, non-linear mappi...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, Muhammad Aamir, Muhammad Irfan, Saeed Alqahtani
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-03-01
Subjects:	Hyperparameter tuning Brain tumor diagnosis Feature extraction Spatial resolution Model complexity Decision-making processes
Online Access:	https://peerj.com/articles/cs-1878.pdf