Integrating Machine Learning and Mathematical Computing for Advanced Applications in Medical Imaging

This workshop bridges the gap between machine learning and mathematical computing, focusing on their combined applications in medical imaging. Participants will learn to leverage ML algorithms and mathematical tools to analyze, enhance, and interpret medical images effectively. The program offers theoretical insights and hands-on experience with state-of-the-art techniques and real-world medical datasets.

To equip participants with the knowledge and practical expertise to integrate Machine Learning (ML) and Mathematical Computing for advanced problem-solving and innovation in medical imaging.

Day 1: Foundations of Mathematical Computing in Medical Imaging

• Introduction to Mathematical Computing
• Overview of mathematical concepts: Linear Algebra and Calculus in medical imaging
• Applications of Fourier Transforms in image analysis
• Interactive Q&A and discussion

Day 2: Machine Learning Fundamentals for Medical Imaging

• Introduction to Machine Learning in Medical Imaging
• Key algorithms: SVM, k-NN, and Decision Trees
• Case study: Image classification and segmentation
• Q&A and hands-on insights

Day 3: Integrating Mathematical Models with Machine Learning

• Combining mathematical computing with ML algorithms
• Real-world applications: Predictive analysis and diagnostics
• Practical challenges and evaluation techniques
• Workshop conclusion and certificate distribution