Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network
Journal article
Authors | Rizwan, M., Aysha, S., Maryam, S., AR Javed, Baker, T. and Dhiya, O. |
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Abstract | Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the tumors and facilitate the patient with proper cure as per their categorizations. Numerous imaging schemes exist for BT detection, such as Magnetic Resonance Imaging (MRI), generally utilized because of the better quality of images and the reality of depending on non-ionizing radiation. This paper proposes an approach |
Keywords | Deep learning; Gaussian convolutional neural network; brain tumor classification, |
Year | 2022 |
Journal | IEEE Access |
Journal citation | 10, pp. 29731 - 29740 |
Publisher | IEEE |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2022.3153108 |
Web address (URL) | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9718069 |
Accepted author manuscript | File Access Level Open |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 21 Feb 2022 |
Publication process dates | |
Accepted | 14 Feb 2022 |
Deposited | 27 Mar 2024 |
https://repository.derby.ac.uk/item/q566z/brain-tumor-and-glioma-grade-classification-using-gaussian-convolutional-neural-network
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Publisher's version
Brain_Tumor_and_Glioma_Grade_Classification_Using_Gaussian_Convolutional_Neural_Network.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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