Image Classification for Chest X-Rays using Transfer Learning

Learned to use PyTorch to create and train a ResNet-18 model and apply it to a Chest X-Ray Radiography Dataset.

isCovid is a Deep Learning model which predicts COVID-19 based on chest x-ray

An End-to-End Pneumonia Diagnosis(from Chest X-Ray images) application built using Flask and Deep Learning models trained using TensorFlow on a Kaggle Dataset.

Graduate Research

People with pulmonary disease often have a high opacity, which makes segmentation of the lung from chest X-rays more difficult. In this study, I propose a methodology to improve the performance of the U-NET structure so that it is able to extract the features and spatial characteristics of the X-ray images of the chest region.

Detecting COVID-19 with Chest X-Ray using PyTorch

Classification of Pneumonia Chest X-Ray Images.

Keras implementation of different types of Generative Adversarial Networks (GANs)

Multilabel Chest Xray Disease Diagnosis

Detecting presence of COVID-19 from Chest X-ray scans using CNN and Class Activation Maps

The final project of "Applying AI to 2D Medical Imaging Data" of "AI for Healthcare" nanodegree - Udacity.

Pneumonia detection on chest X-ray using CNN model (keras)

This is a flask app that analyzes an X-ray and predicts if someone has TB/pneumonia.

This repository uses preprocessing technics such as image growing and erosion and dilation to crop the lungs from chest X-ray images.

This repository for my Data Science, Machine Learning and Deep Learning projects. I want to share my work on this areas.

OHIF Extension that demonstrates how to integrate external machine learning models

Web application to fight Covid19

Building an AI model for chest X-ray under patient privacy guarantees