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.