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.
| DOI: 10.17148/IJARCCE.2021.10747