ujjwalbaid0408 Goto Github PK
Name: Ujjwal Baid
Type: User
Name: Ujjwal Baid
Type: User
Delete the label from a whole-slide image
:metal: awesome-semantic-segmentation
This will help researchers to find the important papers, databases etc. associated with BTS and analysis
Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The repo for the FeTS Challenge
This is for FL tutorial at MICCAI 2022
A generalizable application framework for segmentation, regression, and classification using PyTorch
Implementation of various label fusion approaches for medical imaging.
tracking medical datasets, with a focus on medical imaging
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
Uses the iOS device camera and a custom deep learning algorithm to perform object recognition.
This tutorial will help to learn basics of Python Programming
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
TensorFlow Tutorials with YouTube Videos
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
MONAI Tutorials
Github Pages template for academic personal websites
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.