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

翻译：多分类胸部X光图像是用于诊断胸部疾病最普遍的放射学检查形式之一。本研究简要概述了用于解决此任务的多种方法，包括DenseNet121。此外，我们部署了一个开源基于网络的应用程序。在研究中，我们通过测试比较不同方法的性能表现，并深入分析所提出方法的局限性，同时为未来改进提出建议思路。我们的代码可在以下网址获取：https://github.com/AML4206-MINE20242/Proyecto_AML