lungs

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagg…

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end…

Deep Learning model for predicting Pulmonar Fibrosis evolution

Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)

This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.

Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657

The aim is not only to make a model which can classify the chest x-ray data but also to extract the heat maps of the x-ray for faster diagnosis and making it more reliable to use in real time.

A Web Application that can Detect Pneumonia from Chest X-ray images.

Automatic detection of covid-19 on x-ray images of the lungs.

This project uses Convolutional Neural Networks to detect Covid-19 in chest X-rays.

Volume Local Analysis -- Chest Wall Plethysmography using Opto-Electronic Sensor Data

Tensorflow Keras Lung

A Deep Learning Application for Detecting Lung Abnomalities

CoronaVirus infection Detection in Lungs using AI

Research on the Lungs

A convolutional neural netowrk that detects covid-19 and pneumonia from x-ray scans of the lungs.

For the Semester-Final Team Project, my friends and I have built a CNN model to classify chest X-ray images into Normal, COVID-19, and Pneumonia (Viral/Bacterial) cases.

CardioPulmoRAD-AI is a multimodal explainable AI framework for early cardiopulmonary risk stratification and tele-triage. It fuses chest radiographs (DenseNet-121) and 13 clinical vitals (MLP) with dual XAI (Grad-CAM + SHAP) to support frontline health workers and decision support including specialist-in-the-loop referral in low-resource settings..

AI-powered multi-modal respiratory health monitor using kinematics, acoustics, and environmental data.

Utilizing the power of Convolutional Neural Networks to create an accurate classification of Pneumonia from Lung X-rays.