Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives

Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives

Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. The main objective of this work is to present a com...

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Bibliographic Details
Main Authors: Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, Claudia Testa, Raffaele Agati, Raffaele Lodi, David Neil Manners, Caterina Tonon
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Diagnostics
Subjects:
deep learning
convolutional neural network
brain tumor classification
magnetic resonance imaging
clinical application
clinical effectiveness
Online Access:https://www.mdpi.com/2075-4418/12/8/1850

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