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PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKAN CONVOLUTIONAL AUTOENCODER NETWORK

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Magnetic resonance imaging (MRI) images often contain noise, for example in brain imaging. The noise removal algorithm used is Convolutional Autoencoder Network (CAN) which produces a superior noise reduction effect compared to some other advanced algorithms. This research uses a dataset from Kaggle that contains 253 brain MRI images. The noise removal results using CAN on images with Gaussian noise type are higher than those of Rayleigh noise images. The average PSNR and SSIM improvement on Gaussian noise is 7.92 dB and 0.36, respectively. The average improvement of PSNR and SSIM on Rayleigh noise is 0.19 dB and 0.12, respectively.

Availability
Inventory Code Barcode Call Number Location Status
2307004187T106313T1063132023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1063132023
Publisher
Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xviii, 56 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.650 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Jurusan Teknik Informatika
Jaringan Komunikasi Komputer
Specific Detail Info
-
Statement of Responsibility
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No other version available

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