A solution to enhance the accuracy of blood test results for a Canadian animal diagnostics service, by eliminating subjectivity in manual tests.

Key features:

• Knowledge database for accurate diagnosis.
• Algorithm detecting specific blood cell types.
• Resistance to color map changes.
• Data augmentation and ability to add new classes.
• Automatic image database updates and system re-training.

The turn-key solution incorporates advanced machine learning to deliver highly accurate blood test results and continuously improves result quality by adapting to new data domains.