Chest X-rays helps us to find out the affected areas in the lungs. Using chest X-ray pictures, the project aimes to construct a Convolutional Neural Network (CNN) model that aids in the early detection of COVID-19 and non-COVID-19 viral pneumonia patients during the challenging times of the COVID-19 pandemic. In this project, two Convolutional Neural Network (CNN) models were trained and implemented on two distinct datasets; one for "Covid -19" detection and the other one for "Pneumonia" detection.
This model works
The dataset is sourced from "COVID 19 Xray Image Dataset with Huge Samples" from Kaggle - a known platform for having good variety of datasets for machine learning models. This dataset is a medical dataset of X-Ray Report of various patients. It consists of nearly xray images of nearly 2328 patients' records.
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The dataset is taken from "Chest X-Ray Images (Pneumonia)" from Kaggle. The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).
