1. Identification of lung cancer in chest x-ray images using convolutional neural network.
- Author
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Herriyance, Lubis, Fahrurrozi, Naibaho, Yolanda Natasya, Rahmat, Romi Fadillah, and Aziira, Aina Hubby
- Subjects
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CONVOLUTIONAL neural networks , *X-rays , *X-ray imaging , *LUNG cancer , *DEEP learning , *CAUSES of death - Abstract
Lung cancer is one of the most common causes of death according to WHO in 2020. One of the ways to detect lung cancer is through X-rays. Because the examination is generally carried out manually through the naked eye of experts, it is advisable to have an alternative to detect the disease as early as possible so that the patient can get the right treatment. This study aims to detect the presence of lung cancer from chest x-ray images with the application of deep learning, namely Convolutional Neural Network (CNN). In this study, the authors used 90 cancer images and 90 normal images. The research design stage consisted of pre-processing on x-ray images and identification using CNN. The research obtained an accuracy rate of 87%. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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