Optimization of brain MRI preprocessing using parallel computing for efficient brain tumour classification

Key Points

• Tumour classification accuracy improves with optimized brain MRI preprocessing techniques and parallel computing.
• The model achieves a significant decrease in processing time, with reductions up to 50% in certain tasks.
• Observational analysis utilizes advanced image preprocessing and parallel computing to enhance MRI data handling.
• This method highlights the potential for faster and more accurate diagnosis in clinical settings, addressing time constraints.