Name: Gradient Health
Type: Organization
Bio: Medical Imaging Research and Development Platform, create globally diverse study cohorts for automated diagnostics, education, or clinical trials.
Location: United States of America
Blog: https://gradienthealth.io
Gradient Health's Projects
Apache Beam is a unified programming model for Batch and Streaming data processing.
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
DICOM WADO Image Loader for the cornerstone library
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Javascript implementation of DICOM manipulation
High Performance DICOM Medical Image Parser in Go.
Exploratory DICOM Protocol Buffer Representations and Generator
Tools for running in colab and other training conveniences.
A data management platform for the web, developed by Kitware
🏨Gradient Health DICOM operation for Tensorflow
Repo to hold custom OHIF extensions and modes
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
Run compute jobs on AWS as if you were running them locally.
The following repo will contain resources for gradient health interview questions.
Contains datasets' source code
polygon & polyhedron tools in cpp, python and wasm
Read, modify and write DICOM files with python code
A flexible, high-performance serving system for machine learning models
Tesseract Open Source OCR Engine (main repository)
Client used to send grcp requests to a tfserving model
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Visualization Toolkit for the Web