Data labeling is crucial in histology because it provides the foundation for training artificial intelligence (AI) models to recognize patterns and anomalies in tissue samples. Accurate labeling ensures the reliability of these models, which can then be used to support pathologists in diagnosing diseases, identifying cancerous tissues, and understanding tissue morphology. Without precise labeling, the effectiveness of these AI tools would be significantly compromised.
