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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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Bibliographic Details
Main Authors: Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Noor Azwan, Nor Aiman Zaharin, Ismail, Ahsiah, Alsaiari, Nisrin Amer
Format: Proceeding Paper
Language:English
Published: 2024
Subjects:
QA75 Electronic computers. Computer science
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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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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