Pneumonia Detection System Using Deep Learning

Authors: Abdul Rahman Bin Salam, Ibaad Mohammed Hameeduddin, Mohammed Faizan Hussain, Hajira Sabuhi

DOI: https://doi.org/10.37082/IJIRMPS.v11.i1.230314

Short DOI: https://doi.org/gspr3k

Country: India

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Abstract: Artificial intelligence and machine learning are increasingly being applied in medicine, particularly in biomedical imaging and diagnostic procedures. Machine learning algorithms are being used to process chest X-ray images, enhancing consistency and accuracy in reporting. The research focuses on using deep learning algorithms based on convolutional neural networks to build a processing model for detecting pneumonia-related changes in chest X-rays and classifying them into two groups based on detection results. This approach aims to improve decision-making and accuracy in medical imaging.

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Paper Id: 230314

Published On: 2023-01-04

Published In: Volume 11, Issue 1, January-February 2023

Cite This: Pneumonia Detection System Using Deep Learning - Abdul Rahman Bin Salam, Ibaad Mohammed Hameeduddin, Mohammed Faizan Hussain, Hajira Sabuhi - IJIRMPS Volume 11, Issue 1, January-February 2023. DOI 10.37082/IJIRMPS.v11.i1.230314

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