What are the Challenges Associated with Large Data Volumes?
Managing large data volumes in histology presents several challenges:
1. Storage: High-resolution images and extensive datasets require significant storage capacity. 2. Processing: Analyzing large datasets is computationally intensive and may require specialized hardware and software. 3. Data Integration: Combining histological data with other types of data, such as genomic or clinical data, can be complex. 4. Data Sharing: Ensuring data privacy and security while sharing large datasets with collaborators or within research consortia.
