Performance evaluation of medical image denoising using convolutional autoencoders

• 主要な著者: Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Noor Azwan, Nor Aiman Zaharin, Ismail, Ahsiah, Alsaiari, Nisrin Amer
• フォーマット: Proceeding Paper
• 言語: English
• 出版事項: 2024
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://irep.iium.edu.my/116733/1/Performance_Evaluation_of_Medical_Image_Denoising_using_Convolutional_Autoencoders%203.pdf; http://irep.iium.edu.my/116733/

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....