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 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:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster

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[pycad]

Hi everyone,
I hope that the course is useful, if you have any questions please let me know.

Happy learning

[abdelilahtamesna]

I know a Moroccan voice when I hear it . Happy to see my fellow compatriot delivering a course on this channel.

[apo_dimu]

The grouping implemented during 01:15:00 - 02:15:00 lacks one vital component. Each list of the DICOM file paths returned by glob, has to be sorted first prior to being grouped. Otherwise the elements of each group will be random and hence each subsequent slice will result in a random distance with its previous one inside any given group. This results in an error when each DICOM group is inverted to its corresponding NIfTI file.

You can solve this by simply replacing all existing `glob(<dir_path>)` with `sorted(glob(<dir_path>))`. By including `sorted`, all the file names will be sorted and the grouped slices will have uniform axial-wise distances, preventing errors like the one mentioned above.

[pranayp]

A 5hr course for one use case !! I like this because it is so comprehensive.

[vishaloza]

Wow! All my dream courses are being made by this wonderful team! Thank you so much!

[gellies]

Wonderful! I’m currently on a journey with AI and ML and starting my masters on March

[amineelarif]

he is surely Moroccan, very happy to wlad bladi in this amazing channel!

[butianxiong]

I love this course, it is useful
I think in at 1:50:57 there is something wrong with the enumerate
it should be for j, file in enumerate....
you already use the i in the outer loop.

[rosalieo]

Very exciting topic, thanks for all of your hard work on this channel!!!

[parsakhavarinejad]

Very good course. But there is something that I have to mention, I don't think people who came across here to watch an advanced course on medical image processing, need to learn how to install Python or relevant softwares

[abhinavgarg]

Anyone who's confused with the word "paasions", it means "patients". I too was confused due to his moroccan accent.

[asserloney]

دانت جامد فششششششخخخ ❤❤❤❤❤❤❤❤❤ معندكش كورسات تانيه؟
Anymore videos for mokhtar?

[fred]

Wow! So cool ! 🙏 Thank you !!
Can’t wait to try this !

[ashishgautam]

I watched the complete video. It was useful for me.

[samsalhi]

What a great topic. Clean explanation, Cool editing, Classy content

[sameepshah]

Thank you, this is a such a calmly and well explain and thought out course and video, thank you for your help.

[explorewithshoaib]

Very very very competitive... Thanks for letting us know.

[ismailsalah]

Wow it's un ! Je t'ai reconnu de ta voix 😅😅 bon courage et bonne réussite

[killerdroid]

FCC is on steroids this year 2 gr8 vids b2b its awesome keep it up

[abgeenakhan]

please make courses on FMRI data preprocessing and analysis in python