Deep Learning with PyTorch for Medical Image Analysis
Deep Learning with PyTorch for Medical Image Analysis
Learn how to use Pytorch-Lightning to solve real world medical imaging tasks!
Welcome to one of the most comprehensive courses on Deep Learning in medical imaging! This course focuses on the application of state of the art Deep Learning architectures to various medical imaging challenges. You will tackle several different tasks, including cancer segmentation, pneumonia classification, cardiac detection, Interpretability and many more.
Why choose this specific Deep Learning with PyTorch for Medical Image Analysis course ?
- This course provides unique knowledge on the application of deep learning to highly complex and non-standard (medical) problems (in 2D and 3D)
- All lessons include clearly summarized theory and code-along examples, so that you can understand and follow every step.
- Powerful online community with our QA Forums with thousands of students and dedicated Teaching Assistants, as well as student interaction on our Discord Server.
- You will learn skills and techniques that the vast majority of AI engineers do not have!
Best Seller Course: PyTorch for Deep Learning and Computer Vision
What you’ll learn
- Learn how to use NumPy
- Learn classic machine learning theory principals
- Foundations of Medical Imaging
- Data Formats in Medical Imaging
- Creating Artificial Neural Networks with PyTorch
- Use PyTorch-Lightning for state of the art training
- Visualize the decision of a CNN
- 2D & 3D data handling
- Automatic Cancer Segmentation
You May Also Need This Course: PyTorch: Deep Learning and Artificial Intelligence
