Performance evaluation of medical image denoising using convolutional autoencoders
Convolutional Autoencoders (CAEs) are neural net- work architectures specifically designed for image-processing tasks. CAEs also show a great performance in image denoising as it has the capability to efficiently eliminate noise from images while retaining crucial features and structural integrity....
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| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/116733/1/Performance_Evaluation_of_Medical_Image_Denoising_using_Convolutional_Autoencoders%203.pdf http://irep.iium.edu.my/116733/ |
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