An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

This study proposes the integration of attention modules, feature-fusion blocks, and baseline convolutional neural networks for developing a robust multi-path network that leverages its multiple feature-extraction blocks for non-hierarchical mining of important medical image-related features. The ne...

Full description

Bibliographic Details
Main Authors: Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesi Tzani
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Information
Subjects:
artificial intelligence
deep learning
attention module
feature fusion
magnetic resonance imaging
Online Access:https://www.mdpi.com/2078-2489/14/3/174

Internet

https://www.mdpi.com/2078-2489/14/3/174

Similar Items