What are the Challenges of Data Integration in Histology?
Several challenges can arise when integrating data in histology, including:
Data Heterogeneity: Different datasets may have varying formats, resolutions, and scales, making integration difficult. Data Quality: Ensuring the accuracy and consistency of data from different sources is essential for reliable integration. Computational Complexity: Integrating large and complex datasets can require significant computational resources and expertise. Interdisciplinary Collaboration: Effective data integration often requires collaboration between histologists, bioinformaticians, and other specialists.
