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Name: YUE KAI
Type: User
Company: CUHK
Bio: @CUHK
Location: Hong Kong
Name: YUE KAI
Type: User
Company: CUHK
Bio: @CUHK
Location: Hong Kong
Machine learning discord bot , Detects diseases within seconds with just an xray scan
This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and p
Converts .py to .exe using a simple graphical interface
Machine Learning code for automatic measurement of scoliosis severity from X-ray. 3rd place at the international AASCE competition.
Automatic scoliosis assessment in spinal x-rays using deep learning and a novel vertebral segmentation dataset.
A Python 3.0 package to derive narrowest neck width, hip-axis length and diameter of the femoral head from outline points placed by BoneFinder
Automatic cobb angle detection using the YOLO neural network.
Given as an input either a frontal or a sagittal x-ray image, detect the spinal vertebrae and estimate the Cobb angle, and the shape of the scoliosis.
Automatic Cobb's Angle Measurement for Scoliosis Patients
An Ensemble Deep Learning Model to Classify Scoliosis and Healthy Subjects Based on Non-invasive Rasterstereography Analysis
Give me any knee x-ray image , I will tell you where there is arthritis. You can generate Knee x-ray of 5 different level of arthritis using this Diffusion model(DDPMs). Train it in your own data and share it as medical dataset without fearing for privacy.
A robot powered training repository :robot:
Free to use online tool for labelling photos. https://makesense.ai
Segment Anything in Medical Images
Use YOLO v5 for Chest X-Ray Analysis
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Point3D Fork of Blender
Point3D is a fork of Bforartists, with the goal to improve the UI.
Deep Reinforcement Learning (DRL) agents applied to medical images
Spinal landmarks and curvature detection
First training data to classify spine x-rays as normal, scoliosis and spondylosis. Then trying to use image segmentation techniques to separate the spine from the rest of the x-ray, decide the angle of curvature, then predict future bending
Frontend Solution for scoliosis screening and monitoring
Scoliosis Detection with openCV&Pytorch
ðĶī Automated Cobb Angle Measurement on Anterior-Posterior Spine X-Rays using Multi-Instance Keypoint Detection with Keypoint RCNN Thesis Package
ð Documentation and Training Scripts for ScolioVis
ðĻ Frontend for ScolioVis (My Undergrad Thesis)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
ð Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ððð
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google âĪïļ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.