This project was done as a final project of the artificial vision course IMT-344 of the Mechatronics Engineering course of the Universidad Catolica Boliviana San Pablo. Its main objective is the classification of COVID-19 in Chest X-Ray images, additionally also classified images of Viral Pneumonia and Lung Opacity. All data were collected from the COVID-19 Radiography Dataset from Kaggle.

Covid19_Detection_With_Chest_X-rays_Using_PyTorch_And_TransferLearning

No description available

No description available

Used ResNet18 architecture for image classification

This project deals with detection of covid-19 virus using chest X-ray scans. We are going to use a pre designed neural network named "Resnet-18".

CNN-based pneumonia detection from chest X-rays using PyTorch, featuring transfer learning with ResNet34 and cross-validation testing on COVID-19 dataset