Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach

<p dir="ltr">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 lim...

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Bibliographic Details
Main Author: Zubair Saeed (19325647) (author)
Other Authors: Othmane Bouhali (8252544) (author), Jim Xiuquan Ji (19325650) (author), Rabih Hammoud (14776912) (author), Noora Al-Hammadi (17346808) (author), Souha Aouadi (14776921) (author), Tarraf Torfeh (17760138) (author)
Published: 2024
Subjects:
Biomedical and clinical sciences
Oncology and carcinogenesis
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
deep learning
magnetic resonance imaging
classification
machine learning
deep convolutional neural networks
dual DCNN model
inceptionV3
denseNet121
resNet50
resNet34
resNet18
efficientNetB2
squeezeNet
VGG16
alexNet
leNet-5
learning rates
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