Xilinx and Spline.AI Develop X-Ray Classification Deep-Learning Model and Reference Design on AWS
October 13 2020 - 9:00AM
Business Wire
Adaptive model enables medical equipment makers
and healthcare service providers to rapidly develop trained models
for clinical and radiological applications
Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive and
intelligent computing, today introduced a fully functional medical
X-ray classification deep-learning model and a reference design
kit, in association with Spline.AI on Amazon Web Services (AWS).
The high-performance model is deployed on the Xilinx® Zynq®
UltraScale+™ MPSoC device based ZCU104 and leverages the Xilinx
deep learning processor unit (DPU), a soft-IP tensor accelerator,
which is powerful enough to run a variety of neural networks,
including classification and detection of diseases.
The collaboratively developed solution uses an open-source
model, which runs on a Python programming platform on a Xilinx Zynq
UltraScale+ MPSoC device, meaning it can be adapted by researchers
to suit different application specific requirements. Medical
diagnostic, clinical equipment makers and healthcare service
providers can use the open-source design to rapidly develop and
deploy trained models for many clinical and radiological
applications in a mobile, portable or point-of-care edge device
with the option to scale using the cloud.
To learn more about how the open-source design can be used to
develop a radiology flow, please visit
https://www.xilinx.com/applications/medical/healthcare-ai.html
“AI is one of the fastest growing and high demand application
areas of healthcare, so we’re excited to share this adaptable,
open-source solution with the industry,” said Kapil Shankar, vice
president of marketing and business development, Core Markets Group
at Xilinx. “The cost-effective solution offers low latency, power
efficiency, and scalability. Plus, as the model can be easily
adapted to similar clinical and diagnostic applications, medical
equipment makers and healthcare providers are empowered to swiftly
develop future clinical and radiological applications using the
reference design kit.”
The solution’s artificial intelligence (AI) model is trained
using Amazon SageMaker and is deployed from cloud to edge using AWS
IoT Greengrass, enabling remote machine learning (ML) model
updates, geographically distributed inference, and the ability to
scale across remote networks and large geographies.
“We are delighted to support Xilinx design a solution for
healthcare customers who are in need of ways to rapidly develop
trained models for clinical and radiological applications,” said
Dirk Didascalou, Vice President of IoT at Amazon Web Services, Inc.
“Amazon SageMaker enabled Xilinx and Spline.AI to develop a
high-quality solution that can support highly accurate clinical
diagnostics using low cost medical appliances. The integration of
AWS IoT Greengrass enables physicians to easily upload X-ray images
to the cloud without the need of a physical medical device,
enabling physicians to extend the delivery care to more remote
locations.”
Syed Hussain, CTO at Spline.AI said: “Xilinx Zynq UltraScale+
MPSoCs are Edge devices ideally suited for scalable deployment of
high-performance deep-learning models in a clinical setting, such
as the new COVID-XS model that we worked to train and develop for
this collaborative effort.”
The solution has been used for a pneumonia and Covid-19
detection system, with incredibly high levels of accuracy and low
inference latency. The development team leveraged over 30,000
curated and labeled pneumonia images and 500 Covid-19 images to
train the deep learning models. This data is made available for
public research by healthcare and research institutes such as
National Institute of Health (NIH), Stanford University, and MIT,
as well as other hospitals and clinics around the world.
Follow Xilinx on Twitter, LinkedIn and Facebook.
About Xilinx
Xilinx develops highly flexible and adaptive processing
platforms that enable rapid innovation across a variety of
technologies – from the endpoint to the edge to the cloud. Xilinx
is the inventor of the FPGA, hardware programmable SoCs, and the
ACAP, designed to deliver the most dynamic processor technology in
the industry and enable the adaptable, intelligent, and connected
world of the future. For more information, visit
www.xilinx.com.
© Copyright 2020 Xilinx, Inc. Xilinx, the Xilinx logo and other
designated brands included herein are trademarks of Xilinx in the
United States and other countries.
Source: Xilinx Newsroom Category: Product Announcements
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