Several strategies can be employed to manage computational complexity in histology:
Optimization of Algorithms: Developing optimized algorithms that minimize resource usage while maintaining accuracy. Use of High-Performance Computing: Leveraging high-performance computing (HPC) systems to handle large datasets and complex computations. Parallel Processing: Implementing parallel processing techniques to distribute computational tasks across multiple processors. Machine Learning: Utilizing machine learning models that can learn from data and improve over time, reducing the need for manual intervention. Cloud Computing: Employing cloud computing solutions for scalable storage and computational resources.
