Efficient GDD feature approximation based brain tumour classification and survival analysis model using deep learning

The problem of brain tumor classification (BTC) has been approached with several methods and uses different features obtained from MRI brain scans. However, they suffer from achieving higher performance in BTC and produce poor performance with a higher false ratio. A convolutional neural network (CN...

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Bibliographic Details
Main Authors: M. Vimala, SatheeshKumar Palanisamy, Sghaier Guizani, Habib Hamam
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Egyptian Informatics Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524001403
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