International Journal of Advanced Research in Computer and Communication Engineering

A monthly peer-reviewed online and print journal

ISSN Online 2278-1021
ISSN Print 2319-5940

Since 2012

Abstract: This project prioritizes a convolutional neural network model that has been trained to differentiate and detect pneumonia from X-ray image samples. Unlike other procedures that relay on learning methods of transmission or traditional hand-crafted procedures for obtaining different isolation functions, the convolutional neural network model from scratch to extract features from a given X-ray chest image and isolate to determine whether a person has pneumonia or not. This model can help reduce the reliability and accountability challenges they face when dealing with medical imaging.

Keywords: Convolutional Neural Network (CNN), World Health Organization (WHO), artificial neural network (ANN), Artificial neural network, CheXNet algorithm.

PDF | DOI: 10.17148/IJARCCE.2021.10747

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