Automatic MRI Image Classification Using Attention and Residual CNNs With Enhanced Image Denoising Filters
In clinical diagnosis, magnetic resonance imaging (MRI) plays a vital role in analyzing soft tissues. However, the images are affected by noise that is random in nature. The noise affects the quality of the image, which impacts the accuracy of diagnosis. To address this, in this paper, four enhanced...
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Main Authors: | Suganya Athisayamani, A. Robert Singh, Faten Khalid Karim, Samih M. Mostafa |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10817572/ |
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