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