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All Journal International Journal of Informatics and Computation Jurnal INFOTEL
Sunardi Sunardi
Universitas Ahmad Dahlan, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Journal : Jurnal INFOTEL

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Klasifikasi Citra Medis Tumor Otak Menggunakan Algoritma Convolutional Neural Network Alwas Muis; Sunardi Sunardi; Anton Yudhana
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.964

Abstract

Brain tumor is a disease that is very dangerous for humans where this disease really needs faster and more accurate treatment. This disease requires early detection because it requires fast and accurate medical treatment. Machine learning helps solve problems by leveraging deep learning technology in the branch of machine learning. Deep learning is a technology that can detect, classify, and segment various problems in machine learning. One of the methods used in deep learning is the Convolutional Neural Network. This method is most often used in performing image processing where this method has various types of feature extraction. The purpose of this study was to test the accuracy of using the Convolutional Neural Network method in classifying brain images. The brain image used in this study is an image scanned by Magnetic Resonance Imaging. The dataset in this study was downloaded from the Kaggle website as many as 7023 data consisting of four classes of brain image data, namely glioma, notumor, meningioma, and pituitary classes. The results of this study obtained an accuracy value of 84% so that this research can be used by medical personnel to diagnose brain tumors easily, quickly, precisely, and accurately.
Co-Authors Alwas Muis Anton Yudhana Aris Rakhmadi