Ідентифікація типів захворювання легень за допомогою згорткової нейронної мережі й архітектури VGG-16

• Дата: 2023
• Автори: Bukhori, Saiful, Verdy, Bangkit Yudho Negoro, Windi Eka, Yulia Retnani, Januar, Adi Putra
• Формат: Стаття
• Мова: English
• Опубліковано: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2023
• Теми: tuberculosis; pneumonia; Covid-19; VGG-16; convolutional neural network; туберкульоз; пневмонія; Сovid-19; згорткова нейронна мережа
• Онлайн доступ: http://journal.iasa.kpi.ua/article/view/271023
• Назва журналу: System research and information technologies

Pneumonia, tuberculosis, and Covid-19 are different lung diseases but have similar characteristics. One of the reasons for the worsening of disease in lung sufferers is a diagnosis that takes a long time. Another factor, the results of the X-ray photos look blurry and lack contracture, causing different diagnostic results of X-ray photos. This research classifies lung images into four categories: normal lungs, tuberculosis, pneumonia, and Covid-19 using the Convolutional Neural Network method and VGG-16 architecture. The results of the research with models and scenarios without pre-trained use data with a ratio of 9:1 at epoch 50, an accuracy of 94%, while the lowest results are in scenarios using data with a ratio of 8:2 at epoch 50, non-pre-trained models, accuracy by 87%.