Several challenges exist in the data analysis of histology:
Data Heterogeneity: The high variability in biological samples makes it difficult to standardize analytical methods. Data Volume: The large amounts of data generated necessitate efficient data storage, management, and processing capabilities. Interdisciplinary Knowledge: Effective data analysis requires understanding both biological principles and advanced computational techniques, which can be a barrier for researchers.
