Links, articles, books, and resources
Sharing tools, techniques, concepts, and codes.
Oak-Tree GitLab instance and code server
Components and libraries of the Oak-Tree platform.
Oak-Tree Big Data development environment: Jupyter, MinIO, Kafka, and ZooKeeper.
Sonador is an open source platform for AI powered applications which use medical imaging data.
Revealing the insights within data that impacts our lives.
Data touches every aspect of our lives. Machine learning enables us to teach computers to understand and make use of the insight that they provide.
PyTorch is a library that allows for deep learning models to be expressed in concise Python code. This article will introduce PyTorch and show how it can be used to consume pre-trained models for image classification.
What is involved in choosing the right machine learning strategy, locating data, labeling, and assessing model accuracy?
The number of organizations using artificial intelligence and machine learning has skyrocketed. This guide explores some of the challenges in adopting AI and data driven decision making for an organization, and provides a look at how some groups have successfully integrated AI into their broader initiatives.
It's common knowledge that every machine learning solution needs a good algorithm powering it. But to make machine learning and AI work, you need data. In this guide, machine learning agency Figure 8 covers many of the finer points needed about finding and enriching training data to ensure that machine learning projects are successful.
Blockchain is hyped as one of the most transformative technologies in recent history. What is it? Why is it important? What kinds of problems can be solved using blockchain technologies?
Hyperledger Fabric is becoming one of the most popular blockchain frameworks used by enterprises and medium-sized companies. What does it take to get started developing with it?
The promise of medical AI is a future where "the wisdom contained in the decisions made by nearly all clinicians and outcomes of billions of patients should inform the care of each patient." How do we get there?
Overview of the DICOM standard and the role that it plays in the Sonador Data Platform.
Technology standards used by healthcare organizations, biomedical device, and pharmaceutical companies for medical imaging and data management.
Lung cancer is one of the world's most deadly and costly cancers. Early detection and treatment can reduce mortality rates and costs, but reliably spotting tumors in their early stages is a difficult challenge because such nodules are easy to overlook. AI systems for early detection could save millions of lives.
Open-source cloud platform for medical imaging visualization and research. Project overview, technical aims, and links.
Be up and running with the Sonador Development environment in five minutes.
Requirements, architecture, and technical reference for the Sonador project.
Jupyter notebooks and code samples showing how to work with data stored in Sonador.
Sonador IO is the data management interface of Sonador used to securely store medical images so that they can be queried, retrieved, and transferred. It provides a streamlined way to share medical imaging data with other institutions across the Internet or other applications within the hospital.
Sonador AI provides an end-to-end suite of tools and best practice guidance for Medical Imaging based machine learning. It includes a framework for implementing machine learning models on top of PyTorch, tools for creating annotated datasets, tracking experiments and model versions, deploying to production, and integrating AI into clinical workflows.
How are OpenID connect and oAuth2 used in Sonador to manage authentication of users and authorization of requests?