Integrating Machine Learning and Mathematical Computing for Advanced Applications in Medical Imaging
Revolutionizing Medical Imaging with Machine Learning and Mathematical Precision
About This Course
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.
Workshop Objectives
- 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.
Workshop 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
Who Should Enrol?
- 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
Important Dates
Registration Ends
03/10/2025
IST 1:00 pm
Workshop Dates
03/10/2025 – 03/12/2025
IST 5 PM
Workshop 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
Fee Structure
Student
₹2499 | $50
Ph.D. Scholar / Researcher
₹2999 | $55
Academician / Faculty
₹3999 | $65
Industry Professional
₹5999 | $85
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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