Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

Brain cancer is a life-threatening disease requiring close attention. Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. However, manual diagnosis by radiologist experts is time-consuming and has limitations in processing large...

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Bibliographic Details
Main Authors: Zubair Saeed, Othmane Bouhali, Jim Xiuquan Ji, Rabih Hammoud, Noora Al-Hammadi, Souha Aouadi, Tarraf Torfeh
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Bioengineering
Subjects:
deep learning
magnetic resonance imaging
classification
machine learning
deep convolutional neural networks
dual DCNN model
Online Access:https://www.mdpi.com/2306-5354/11/5/410

Internet

https://www.mdpi.com/2306-5354/11/5/410

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