Klasifikasi Citra Penyakit Pneumonia Menggunakan Pre-trained Model ResNet50V2

Wicaksono, Wahyu Priyo (2024) Klasifikasi Citra Penyakit Pneumonia Menggunakan Pre-trained Model ResNet50V2. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

Pneumonia is a disease that infects the lungs, which is caused by infection from bacteria, viruses, fungi and parasites. Pneumonia is a deadly infectious disease that can cause death in children and the elderly. Currently, with the development of technology, the process of diagnosing pneumonia can be done using x-ray images. However, to find out the results of x-ray images, the role of radiologists is needed, where there is a limited number of radiologists in developing countries and the diagnosis time is quite long and the costs are quite large. This study aims to classify pneumonia with a deep learning approach using the ResNet50v2 pre-trained model. This method can be used to classify pneumonia x-ray images with an accuracy of 94%.

Item Type: Thesis (Undergraduate)
Student ID: 201810370311273
Keywords: Pneumonia, Computer Vison, Deep Learning, ResNet50v2
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201810370311273 wahyuwpw27
Date Deposited: 12 Feb 2024 05:46
Last Modified: 12 Feb 2024 05:46
URI: https://eprints.umm.ac.id/id/eprint/3712

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