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Efficient Segmentation for Volumetric Data
A resource repository for 3D machine learning
abdominal multi-organ segmentation using pytorch
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab
Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.
An open-source pelvis atlas is constructed to provide pelvis CT segmentations, statistical shape models, and surgical screw trajectories
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
Advanced Normalization Tools in R
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
Bachelor's thesis project. Bachelor thesis project. A DICOM Viewer written in C++, QT and VTK.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A module for 3D image augmentations for deep learning, specifically medical images such as CT, MRI.
This is the repo hosting the capstone project work
Awesome artificial intelligence in cancer diagnostics and oncology
Awesome resources for artificial intelligence in cardiology
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
A framework for data augmentation for 2D and 3D image classification and segmentation
Cohort 14 Capstone Project for the Certificate of Data Science at Georgetown University School of Continuing Studies.
GPU accelerated Monte Carlo simulation platform for Photon Therapy
A list of machine and deep learning publications in interventional radiotherapy and related fields
Reproducibility materials for a study of brain metastases incidence and Medicare claims classification accuracy
A Flask based web application to predict breast cancer.
Using sklearn with pandas and KNN algorithm to develop a prediction model for malignant and benign tumors
Digital pathology image viewer with support for human/machine generated annotations and markups.
Segmentation of BraTS MRI data set using ESPNet, Unet, Random Forest
Differential gene expression analysis of TCGA dataset containing expression data for normal and kidney cancer cells
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.