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.
Aim
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.
What Participants Will Learn
To introduce participants to the fundamentals of machine learning and mathematical computing for medical imaging.
To train participants in implementing ML algorithms and mathematical techniques for medical image analysis.
To explore real-world applications of AI in medical diagnostics and treatment planning.
To address ethical considerations and best practices in AI-driven medical imaging.
To prepare participants for research and professional roles at the intersection of AI, mathematics, and healthcare.
Structure
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
Important Dates
Registration Ends
1:00 pm
Workshop Dates
2025-03-10
5 PM
5 PM
What You Will Gain
Outcomes
Mastery of integrating ML and mathematical computing for medical imaging applications
Proficiency in using ML models and mathematical tools for image analysis and enhancement
Ability to develop AI-assisted diagnostic solutions for radiology and healthcare
Understanding of ethical and regulatory considerations in medical AI applications
Insights into emerging trends and future directions in medical imaging technology
Who Should Attend
Biomedical engineers, radiologists, and healthcare professionals
Data scientists and ML engineers working in healthcare
Academics and researchers in AI, mathematics, and medical imaging
Students pursuing careers in biomedical sciences and technology
