Chapters (13)
- 0:00Introduction
- 2:11What is U-Net
- 13:21Software Installation
- 22:35Finding the Datasets
- 35:11Preparing the Data
- 2:49:08Installing the Packages
- 3:03:56Preprocessing
- 3:50:14Errors you May Face
- 4:12:06Dice Loss
- 4:21:44Weighted Cross Entropy
- 4:33:09The Training Part
- 4:50:04The Testing Part
- 5:01:50Using the GitHub Repository
Show the creator's full description
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
❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
(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:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster
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