PyTorch and Monai for AI Healthcare Imaging – Python Machine Learning Course



Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation. ✏️ Course from Mohammed El Amine MOKHTARI. Check out his YouTube channel: https://www.youtube.com/c/pycad 💻 Code: https://github.com/amine0110/Liver-Segmentation-Using-Monai-and-PyTorch ⭐️ Course Content ⭐️
(0:00:00) Introduction
(0:02:11) What is U-Net
(0:13:21) Software Installation
(0:22:35) Finding the Datasets
(0:35:11) Preparing the Data
(2:49:08) Installing the Packages
(3:03:56) Preprocessing
(3:50:14) Errors you May Face
(4:12:06) Dice Loss
(4:21:44) Weighted Cross Entropy
(4:33:09) The Training Part
(4:50:04) The Testing Part
(5:01:50) Using the GitHub Repository 🎉 Thanks to our Champion and Sponsor supporters:
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PyTorch and Monai for AI Healthcare Imaging – Python Machine Learning Course

PyTorch and Monai for AI Healthcare Imaging – Python Machine Learning Course

 

 

 

 

 

 

 

 

 

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