Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selection Method".

A neural network that analyses an x-ray of a person's lungs and can identify with 75-85% accuracy whether they have COVID-19, pneumonia, or are healthy (or are asymptomatic)

Pneumonia classifier GUI with tkinter: based on link below

Pneumonia is an infectious disease of the lungs that mainly affects the pulmonary vasculature and causes the oxygen not to pass into the blood. Symptoms usually include a combination of cough, chest pain, high fever and difficulty breathing. Pneumonia is most often caused by a bacterial or viral infection and sometimes by autoimmune diseases. Di…

Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models

Detect Pneumonia from chest X-Ray Images

A spatial pyramid pooling based CNN to classify different types of pneumonia

Pneumonia classification as a service

This project uses deep learning algorithms and the Keras library to determine if a person has certain diseases or not from their chest x-rays and other scans. The trained model is displayed using Streamlit, which enables the user to upload an image and receive instant feedback.

Code for COVID19 CT labeling. Submillimetric CT dataset provided as well.

Linear Regression , Cross Validation, k-mean clustering , Watershed , Gradients and Edge Detection , threshold , Correlation , Neural Network, Conventional Neural Network , Pneumonia Classification, Social Distancing, Rainfall Prediction, Boston Housing Price Prediction.