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A precise and efficient model capable of early and accurate COVID-19 diagnosis.

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COVID-19-DETECTION-Using-CNN

Detecting COVID-19 From Chest X-Ray Images using CNN

This project aims to develop and implement a convolutional neural network (CNN) model for the detection of COVID-19 from chest X-ray images, creating a precise and efficient model that can significantly contribute to the early and accurate diagnosis of COVID-19, thereby facilitating effective patient management and curbing the transmission of the disease.

By training a CNN model on a large dataset of chest X-ray images, consisting of COVID-19-positive and negative cases, we seek to establish a reliable and efficient method for COVID-19 detection. The trained model will be able to classify new chest X-ray images as either COVID-19-positive or negative, thereby aiding healthcare professionals in making timely and informed decisions.

To run the gui type ipython covidgui.py in your terminal window

The dataset was taken from https://www.kaggle.com/datasets/fusicfenta/chest-xray-for-covid19-detection

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