DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS
Course 6401
5 Days
$2,400
In this comprehensive course, you’ll explore how deep learning can revolutionize the field of medical imaging. We’ll cover everything from the basics of neural networks to advanced architectures used in medical diagnostics. By the end of this course, you’ll have the skills to build and deploy deep learning models that can analyze and interpret medical images
Who Should Take This Course?
This course is designed for healthcare professionals, data scientists, and AI enthusiasts interested in applying deep learning to medical imaging. If you want to learn how AI can enhance diagnostics and improve patient care, this course is for you.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
Learning Objectives
- Understand the principles of deep learning and its applications in medical imaging.
- Learn to preprocess, augment, and manage medical image data.
- Explore and implement popular deep learning architectures for image analysis.
- Gain hands-on experience in building, training, and evaluating deep learning models.
- Develop skills to deploy models and interpret results in real-world healthcare scenarios.
Course Topics
Introduction to Deep Learning
- Basics of neural networks
- Overview of medical imaging modalities (X-rays, MRI, CT scans)
Data Preparation and Augmentation
- Preprocessing techniques (normalization, resizing)
- Augmentation strategies to enhance model performance
Convolutional Neural Networks (CNNs)
- Architecture and applications in image analysis
- Key components and functions
Advanced Deep Learning Architectures
- Exploration of ResNet, VGG, and U-Net
- Use cases in diagnostics and treatment
Training and Evaluating Models
- Best practices for training deep learning models
- Evaluation metrics: accuracy, sensitivity, specificity
Transfer Learning and Model Optimization
- Implementing transfer learning with pre-trained models
- Techniques for optimizing model performance
Real-World Applications and Deployment
- Case studies of deep learning in diagnostics
- Challenges in deploying models in healthcare systems
Ethical Considerations and Future Trends
- Privacy, data security, and ethical implications
- Emerging trends in medical image analysis
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
**Rates below are for each participant.
August 26 - August 30, 2024
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
September 16 - September 20, 2024
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
October 14 - October 18, 2024
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
November 11 - November 15, 2024
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
January 20 - January 24, 2025
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
February 17 - February 21, 2025
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
March 24 - March 28, 2025
9:00 AM – 5:00 PM EST
Deep Learning Medical Imaging Virtual, EST
$2,400
Class ID: 6401
