Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has increased dramatically as the number of patients has increased, making old procedures both costly and ineffective. Many researchers investigated a...

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Bibliographic Details
Main Authors: Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-Kenawy, Amal H. Alharbi, Doaa Sami Khafaga, Abdelhameed Ibrahim, Fatma M. Talaat
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Bioengineering
Subjects:
brain tumor
diagnosing
convolutional neural network
optimization
hyperparameters
deep learning technique
Online Access:https://www.mdpi.com/2306-5354/10/1/18

Internet

https://www.mdpi.com/2306-5354/10/1/18

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