Data redundancy in histology poses several challenges:
Inefficiency: Redundant data can lead to increased storage needs, which in turn increases costs and makes data management more complex. Data Integrity: When the same data exists in multiple places, it becomes difficult to ensure that all copies are up-to-date and consistent. This can compromise the reliability of research findings. Data Retrieval: The presence of redundant data can make retrieving specific information more time-consuming and error-prone.
