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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Noufal Maulana
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Literature Review: Klasifikasi Citra Medis Penyakit Pneumonia dengan Convolutional Neural Network Noufal Maulana; Muhammad Fauzan Rusby Kholiq; Muhammad Dabit H. A.; Geraldo Sabila F.
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 09 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Pneumonia is a dangerous respiratory infection with a fairly high mortality rate, especially in countries with limited medical resources. Examination of chest X-ray images is usually the main method for diagnosing this disease, but the process can be time consuming and requires special expertise. In this study, the Convolutional Neural Network (CNN) method was applied to help classify chest X-ray images into "pneumonia" and "normal" categories. By using CNN, this model is able to recognize complex visual patterns in images and produce predictions with a high level of accuracy. The test results show that the CNN model can be relied upon to assist in the automatic diagnosis of pneumonia, providing opportunities for application on a wider scale.
Co-Authors Geraldo Sabila F. Muhammad Dabit H. A. Muhammad Fauzan Rusby Kholiq