What Challenges Does Image Recognition Face in Histology?

Despite its advantages, image recognition in histology faces several challenges:

Data Quality: The accuracy of image recognition depends heavily on the quality of the training data. Poor-quality images can lead to incorrect analyses.
Complexity of Tissue Structures: Tissues can be highly complex and heterogeneous, making it difficult for algorithms to accurately identify and categorize structures.
Computational Resources: High-performance computing resources are required to process and analyze large datasets, which can be cost-prohibitive.
Integration: Integrating image recognition systems into existing clinical workflows and electronic health records (EHR) can be challenging.