Training AI to see cells in context improves detection in pathology images

AI Summary

Researchers at Koç University developed an AI training strategy to improve detection of cells in digital pathology images. The method helps AI interpret cells in relation to surrounding tissue, addressing errors in densely packed samples.

Artificial intelligence can help identify cells in digital pathology images, but densely packed tissue remains a challenge: neighboring cells may be merged, counted twice or missed entirely. Researchers at Koç University have developed a training strategy that improves detection by teaching AI to consider how cells are arranged within the tissue.