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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| 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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