PhasePhinder: An Open-Sourced App for Propagation-Based Phase Contrast in Lab XCT

Tools for simulating x-ray diffraction. Detailed documentation is found at the below link.

A Wolfram Mathematica image processing code for bubble flow images in X-ray. Codeveloped with https://github.com/Mihails-Birjukovs

This project aims to study a public dataset on pneumonia detection based on a binary classification problem. I will perform a preprocessing phase, create a deep learning model from scratch, evaluate it with a transfer learning technique and complete this study with a grad cam integration.

This repository includes object detection on X-ray lung images using YOLOv8

image classification using CNN , using algorithm to detect affected or normal Xray with help of machine Learning

This project focuses on leveraging deep learning techniques to predict lung disease, specifically pneumonia, from chest X-ray images.

Machine Learning approach to diagnose COVID-19 via X-Ray images

Chest X-Rays Image Classification project from the course Applied AI in Biomedicine @ Politecnico di Milano

Utilizing CNN and Logistic Regression Model in Python for Pneumonia Detection from X-Ray Images

Comprehensive Performance Analysis of Three Pretrained Transformer Models (ViT, Swin, and MaxViT) on ImageNet and Fine-tuned on the NIH Chest X-rays Dataset for Classifying 14 Chest Radiograph Pathologies

In this project, medical X-Ray imaging methods using MATLAB tools are studied. In order to design the model of the X-Ray imaging as software, the X-Ray imaging project is divided into two parts, namely the forward problem and the inverse problem

Spine XRay Lesions Detection on VinDr-SpineXR dataset from VinBigData (2021) with One-Stage Detection Models (YOLO)

Chest X-Ray Diagnosis: v4

training CNN model on chest x-ray images to classify if the patient has pneumonia or not

X-ray Image Viewer (NumPy, imageio, Matplotlib, SciPy)

The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore.

Annotating Chest XRAY Images and Evaluating the annotation

Бинарная классификация рентгеновских снимков грудной клетки. Определение наличия пневмонии у пациентов при помощи различных CNN архитектур. Использование метода Transfer Learning

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