HALO AI

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Description

Trainable AI for pathology that addresses challenges in image analysis such as segmentation, classification, and phenotyping.

Summary

HALO AI leverages advanced deep learning networks to offer segmentation, classification, and phenotyping tools for both brightfield and fluorescence applications in pathology. It simplifies the creation of robust AI models with a train-by-example interface, enabling users to rapidly annotate images and develop training data without needing programming skills. This integration into the HALO and HALO Link platforms streamlines workflows, making it easier for researchers and clinicians to manage variability in their studies and achieve accurate, reproducible results.

Use Cases

• A researcher trains an AI model to differentiate between tumor and stroma in digital pathology slides.
• A pathology lab uses HALO AI to automate the detection of specific cell types in tissue samples.