Nvidia Debuts Clara AI Toolkit with Pre-Trained Models for Radiology Use

By John Russell

March 19, 2019

AI’s push into healthcare got a boost yesterday with Nvidia’s release of the Clara Deploy AI toolkit which includes 13 pre-trained models for use in radiology. Clara, you may recall, is Nvidia’s biomedical platform that was introduced at last year’s GTC and described as a “Medical Imaging Supercomputer.” At the time, Nvidia CEO Jensen Huang focused on AI’s capabilities to assist medical imaging tasks. Release of a toolkit with trained models and the capabilities for creating more models is an important forward step.

AI (deep learning and machine learning) will undoubtedly perform many useful tasks in the clinic and bioresearch. Image analysis is seen as one of the early opportunities because of the maturity of AI tools for image processing and because of the tremendous need. Consider the variety of medical images in use as x-ray, MRI, CT, and PET. Fast and accurate interpretation of these images is critical to delivering the right care. AI-assisted annotation has the potential to improve accuracy and great speed up image interpretation.

During his wide-ranging keynote at GTC 2019 yesterday, Huang said, “[Radiologists] used to be able to look at a study for 20 minutes; now they barely have four minutes. The pressure is incredible. And it is the largest operation in the hospital. The question is how do we apply deep learning to enable all of these radiologists and to augment them, so that there’s assistant (AI) sitting next to them helping.”

The new toolkit, developed in collaboration with several prominent biomedical organizations, not only has these 13 pre-trained model, but also features tools for building/training your own models, and sharing them. The already developed models are also available in Nvidia’s container registry. Here’s a snapshot of the Clara SDK’s core capabilities:

  • Data Ingestion: Includes a containerized DICOM Adapter interface to communicate with hospital PACS and other imaging systems (both to receive and transmit data)
  • Pipeline Manager and Core Services: Provides container based orchestration, resource management & services for TensorRT based inference and Rendered Images Streaming.
  • Sample Deployment Workflows: Includes capabilities to define and configure container based workflows using sample workflow with user defined data or modified with user-defined-AI algorithms.
  • Visualization Capabilities. Enables the ability to monitor progress and view final results

Huang noted, “There is no way that one institution, one group can possibly train all the neural networks for all of these diseases…We decided instead of being the one company to solve it all, we would help them create tools and put them in the hands of radiologists.”

The Clara Deploy SDK provides an industry-standard, container-based development and deployment framework for building AI-accelerated medical imaging workflows. The SDK uses Kubernetes under the hood, enabling developers and data scientists the ability to define a multi-staged container based pipeline. This modular architecture, shown in figure 1, allows developers to use the offerings of the platform out-of-the-box with minimal customization or create customized workflow pipelines with bring-your-own algorithms.

Huang shared relatively few details about the Clara toolkit but Nvidia posted several blogs (links at end of article) yesterday and are worth reviewing for slightly deeper dives into Clara and the Clara SDK.

Here’s a brief description from one of the blogs (Fast AI Assisted Annotation and Transfer Learning with Clara Train), “Clara Train SDK’s AI Assisted Annotation accelerates the annotation process by enabling application developers integrate the deep learning tools built into the SDK with their existing medical imaging applications, such as MITK, ITK-Snap, 3D Slicer or a custom built application. This is accomplished using a simple API and requires no prior deep learning knowledge. As a result, radiologists can increase their productivity by analyzing more patient data while still using their existing workflows and familiar tools.”

Here an excerpt from another Blog (Clara AI Lets Every Radiologist Teach Their Own AI)

“Transfer learning, another capability in the Clara AI toolkit, adapts existing models to fit local variables. It customizes deep learning algorithms to data that includes local demographics and imaging devices, without having to move or share patient data. As a result, doctors can create models for their own patients with 10x less data than starting from scratch. It takes a significant amount of technical expertise to integrate AI models and applications into hospital IT systems. The toolkit facilitates the integration of AI models into existing radiology workflows using industry standards, like DICOM.”

Here’s a list of relevant blogs with more detail on Clara and Clara SDK:

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

First All-Petaflops Top500 List Debuts; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafloppers only. The entry point for the new list is 1.022 petaf Read more…

By Tiffany Trader

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its intention to make Arm a full citizen in the processing arch Read more…

By Tiffany Trader

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are already ensconced at the venue. In any case, you're busy, so he Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Transforming Dark Data for Insights and Discoveries in Healthcare

Healthcare in the USA produces an enormous amount of patient-related data each year. It is likely that the average person will generate over one million gigabytes of health-related data across his or her lifetime, equivalent to 300 million books. Read more…

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the GFS – its first new dynamical core in nearly 40 years – w Read more…

By Oliver Peckham

First All-Petaflops Top500 List Debuts; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafl Read more…

By Tiffany Trader

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its Read more…

By Tiffany Trader

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are alr Read more…

By Tiffany Trader

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the G Read more…

By Oliver Peckham

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

The Spaceborne Computer Returns to Earth, and HPE Eyes an AI-Protected Spaceborne 2

June 10, 2019

After 615 days on the International Space Station (ISS), HPE’s Spaceborne Computer has returned to Earth. The computer touched down onboard the same SpaceX Dr Read more…

By Oliver Peckham

Building the Team: South African Style

June 9, 2019

We’re only eight days away from the start of the ISC 2019 Student Cluster Competition. Fourteen student teams from eleven countries will travel to Frankfurt, Read more…

By Dan Olds

Scientists Solve Cosmic Mystery Through Black Hole Simulations

June 6, 2019

An international team of researchers has finally solved a long-standing cosmic mystery – and to do it, they needed to produce the most detailed black hole simulation ever created. Read more…

By Oliver Peckham

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This