There are 4 repositories under x-ray topic.
🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN
STALKER (aka xray-engine) import/export plugin for Blender 3D
Anything can happen in the next half hour (including spectral timing made easy)!
COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
React layout debugger.
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
The home of the McStas (neutrons) and McXtrace (x-rays) Monte-Carlo ray-tracing instrument simulation codes.
12000+ manually drawn pixel-level lung segmentations, with and without covid
Code and data for the "annotation" component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7
A .Net application that processes e-books to create X-Ray files for the Amazon Kindle (Paperwhite, Voyage, Fire). X-Rays are built complete with chapter locations and excerpts.
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
General hand-eye calibration based on reprojection error minimization and pose graph optimization
Books API using Amazon API Gateway, AWS Lambda and Amazon DynamoDB while AWS SAM for IaC. CI/CD pipeline provisioned with AWS CDK.
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.
Discover duplication glitches, abusive staff giving items, x-ray or simply poor server economy.
CL-Detection2023 Challenge Official Repository
X-ray: Generate and Analyse is a module designed to make the analysis of XMM observations simple and efficient. It provides an interface with SAS for the creation of XMM data products, as well as a way to easily perform fits (scalable for multiple observations) and retrieve information about an object, all within a Python package.
CL-Detection2023 Challenge Official Repository
Calculate many-body states of an impurity Anderson model and spectra (e.g. XPS, XAS, RIXS, NIXS)
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
SciAnalysis is a set of Python scripts for batch processing of image data, including x-ray scattering detector images.