Classification of Chest XRay Diseases through image processing and analysis techniques
By: Santiago Martínez Novoa , María Catalina Ibáñez , Lina Gómez Mesa and more
Potential Business Impact:
Helps doctors find sickness on X-rays faster.
Multi-Classification Chest X-Ray Images are one of the most prevalent forms of radiological examination used for diagnosing thoracic diseases. In this study, we offer a concise overview of several methods employed for tackling this task, including DenseNet121. In addition, we deploy an open-source web-based application. In our study, we conduct tests to compare different methods and see how well they work. We also look closely at the weaknesses of the methods we propose and suggest ideas for making them better in the future. Our code is available at: https://github.com/AML4206-MINE20242/Proyecto_AML
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