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

ANDRIANSYAH, ANGGA DWI and Samsuryadi, Samsuryadi and Rizqie, Muhammad Qurhanul (2023) PENGHAPUSAN DERAU PADA CITRA MAGNETIC RESONANCE IMAGING (MRI) OTAK MENGGUNAKAN CONVOLUTIONAL AUTOENCODER NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Ilmu Komputer, Teknik Informatika
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 30344 not found.
Date Deposited:	31 May 2023 05:53
Last Modified:	31 May 2023 05:53
URI:	http://repository.unsri.ac.id/id/eprint/106313

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