What Challenges Exist in Applying CNNs to Histology?
Despite their advantages, there are several challenges in applying CNNs to histology:
Data Quality: High-quality, annotated datasets are required for training CNNs. Obtaining such datasets can be labor-intensive and expensive. Computational Resources: Training CNNs requires significant computational power and memory. Interpretability: CNNs are often considered "black boxes," making it difficult to interpret their decisions. This lack of transparency can be a hurdle in clinical settings.
