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

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.

Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models

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.

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

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)

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

Detección de Neumonia con IA - online

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…

Pneumonia classification as a service

A baseline pneumonia classification system using DenseNet-121 on chest X-ray images. This implementation provides patient-level data splits, multiple preprocessing pipelines, class balancing, and interpretability analysis with Grad-CAM visualizations.

Detect Pneumonia from chest X-Ray Images

Pneumonia classifier GUI with tkinter: based on link below

This project is an AI-powered medical diagnosis assistant that identifies pneumonia from chest X-ray images using deep learning. Built with PyTorch and trained on a Kaggle dataset, the model leverages the ResNet18 architecture to accurately classify whether a patient has pneumonia or not.