Why is Computational Load Significant in Histology?
The significance of computational load in histology stems from several factors:
1. High-Resolution Imaging: Histological studies often involve high-resolution imaging techniques that generate large volumes of data. Managing and processing these images require substantial computational power. 2. Complex Algorithms: Modern histological techniques employ complex algorithms for tasks such as image segmentation, feature extraction, and pattern recognition. These algorithms can be computationally intensive. 3. Big Data Integration: Combining data from various sources, such as genomic data and clinical records, with histological images can increase computational demands.
