PPT Topics

Day Topics to be Covered
1 Introduction to Medical Imaging and Machine Learning
• Overview of Machine Learning (ML) and its applications in medical imaging.
• Overview of medical imaging modalities (X-ray, CT, MRI, ultrasound)
• Types of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Challenges and opportunities in applying machine learning to medical imaging.
• Hands-on session: Introduction to Python and basic machine learning libraries
2 Image Preprocessing and Feature Extraction
• Image preprocessing techniques (noise reduction, segmentation, enhancement)
• Image Enhancement Techniques and modelling
• Feature extraction methods for medical images
• Handling imbalanced datasets in medical imaging.
• Hands-on session: Image preprocessing, enhancement and feature extraction using Python libraries
3 Deep Learning Architectures for Medical Image Analysis
• Introduction to deep learning for medical image analysis
• Convolutional neural networks (CNNs) for medical image classification and segmentation
• Transfer learning in medical imaging.
• Introduction to common machine/Deep learning libraries (e.g., TensorFlow, PyTorch).
• Fine-tuning pre-trained models for specific medical imaging tasks.
• Hands-on session: Building deep learning models for medical image analysis using Python libraries•
4 Model Evaluation and Deployment
• Evaluation metrics for medical image analysis (e.g., sensitivity, specificity)
• Techniques for model selection and hyperparameter optimization
• Cross-validation and hyperparameter tuning.
• Practical session on model evaluation and validation.
5 Ethics and Legal Considerations
• Addressing challenges and pitfalls in deploying machine/deep learning models in healthcare.
• Applications of machine learning in specific medical imaging tasks (e.g., tumor detection, organ segmentation).
• Emerging trends in machine learning for medical imaging.
• Ethical considerations in machine/deep learning for medical imaging
• Future directions of machine/deep learning in medical imaging

Who Can Attend:

CSE ECE IT EEE Instrumentation Medical Pharmacy BioTechnology MCA BioMedical Design Media

Related Links:

FDP on From Pixels to Predictions: Machine Learning in Medical Imaging 2023 VIT University Chennai Campus Chennai Tamil Nadu December 2023 Online Events Online Events in Chennai 2023 Faculty Development Programme Faculty Development Programmes in Chennai 2023