Medical and Cell Imaging Analytics with LandingLens

Learn how to develop, deploy, and scale Visual AI solutions using LandingLens on Snowflake

Watch Demo Link to Quickstart

overview

This solution architecture helps you build and deploy Visual AI solutions in Snowflake for Healthcare & Life Sciences. Some of the use cases are described below. 

  • Measuring Disease progression using classification
  • Counting cell colonies for viability using object detection
  • Detecting abnormalities in radiology and pathology images aiding diagnosis using classification
  • Visual promoting to fine tune on in house images

Snowflake Features Used
Quickstart
Build this solution now Visual AI Models with LandingLens on Snowflake

Solution Architecture: Build a Visual AI model

  • Install LandingLens Native App from Snowflake Marketplace
  • Upload and label images data from Snowflake external stage
  • Model training & Iteration using SPCS Compute
  • Deploy the Visual AI model on the Edge or Cloud
  • Store prediction results in Snowflake

HANDS-ON TECHNICAL RESOURCES