NVIDIA Clara Platform for Healthcare Workshop
Event Information
Event description
Description
NVIDIA Clara - Intelligent Compute Engine for Healthcare and Life Sciences
NVIDIA Clara provides access to technological advancements in hardware and software across medical imaging and genomics. With NVIDIA Clara, data scientists and developers have the tools they need to accelerate the future of medicine.
AGENDA
- 8:30 AM - Registration
- 9:15 AM – Introduction
- Clara Platform 1.0 GA Overview
- Medical Imaging AI brief
- NGC & NGC-ready systems
- 10:00 AM – Coffee Break
- 10:30 AM - Clara Train – AIAA
- AI Assisted Annotation (AIAA) Tool
- Live Demo of Clara Train SDK
- 11:00 AM - The Medical Imaging Interaction Toolkit (MIKT) Demo
- MITK toolkit related workflow and capabilities live demo
- Annotation workflow live demo
- 11:15 AM - Clara Train – TLT
- Transfer learning toolkit for Clara Train
- Live demo of Transfer learning workflow
- 12:00 PM – Lunch
- 1:00 PM – Clara Deploy
- Live demonstration of Clara Deploy SDK
- 1:45 PM – TensorRT
- Introduction to TensorRT and TRTIS
- INT8 calibration and its peculiarities in the medical domain
- 2:30 PM - Clara Train Demo by SNAC
- Demonstration by SNAC team on Clara Train and Deploy for Neuroimaging use case
- Q&A
- 3:00 PM – Coffee Break
- Open discussion between participants
- Q&A
- 4:00 PM – End of workshop
Instructor will run live Clara demo concentrating on explaining all the working parts. If you would like to run excercises on your machine, please bring a fully charged laptop and do the following preparation prior to the workshop. Running hands-on is optional and not compulsory to benefit from the workshop.
Hands-on preparation:
- Download the docker version for:
- Clara Train at NGC (nvcr.io/nvidia/clara-train-sdk:v1.0-py3),
- Clara Deploy at NGC (https://ngc.nvidia.com/catalog/model-scripts/nvidia:clara_deploy_sdk)
- Install the latest Nvidia Driver for your GPU in linux environment (e.g 410+) and Compute Capability 5.2 and above
- Install Cuda version 10.1 on your laptop
- Download the data: https://drive.google.com/open?id=1A2IU8Sgea1h3fYLpYtFb2v7NYdMjvEhU
We will share access to (1) Jupyter notebook for hands-on exercise and (2) presentation materials after the workshop.
Workshop Instructor: Dr Alvin Ihsani, Deep Learning Solutions Architect, Medical Imaging, NVIDIA Corporation
In collaboration with:
