Publication Date: 2023/05/31
Abstract: Pneumonia is a very dangerous disease that affects the lungs of human beings and can even cause death. It is caused by a bacteria called Streptococcus pneumoniae. There are different types of pneumonia like bacterial, viral, and covid 19 pneumonia. This mainly affects children below five years and elderly people. Chest X-rays are used to diagnose pneumonia and this needs expert radiotherapists for evaluation. This may cause a delay in detecting pneumonia which can be lifethreatening. Here comes the need for deep learning algorithms for analyzing medical images. In this paper, we use deep learning algorithms like CNN, transfer learning and ANN in detecting pneumonia and compare their accuracies to determine which algorithm is better. Chest X-ray dataset from Guangzhou Women and Children’s Medical Center is used
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.7988466
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY733.pdf
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