profile

Machine Learning for Medical Imaging

Medical imaging expert told me this

Published 20 days ago • 2 min read

Hello Reader,

Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓

A Medical Imaging Expert Told Me This

Recently I saw a post on LinkedIn where a medical imaging expert showcased his work of segmenting the lungs and its bronchial trees. You can see a screenshot of his work below ↓

To do this, he used 3D Slicer to automatically get the segmentation of the lungs and lobes. He then manually did the segmentation of the bronchial tree (the tree like structure in the previous image).

I reached out to him and asked him how long did it take him to do this. He told me it took him 3 hours!!

Can you imagine this? 3 hours for one CT or MRI scan!

He also told me that he was aspiring to be able to do 50 of these per MONTH!

Now, why am I sharing this with you?

Because this is a use case where there is clear, straightforward and incredible value that AI can bring to the table.

AI can easily cut down the time by several orders. I am saying this from experience.

In fact, we worked on a similar use case with a client of ours at PYCAD, where we built an automatic segmentation model for the liver and its blood vessels. We were able to get the time required to do the segmentation from around 3 hours all the way down to 4 minutes + extra time to do minor touches.

Now, to be completely frank, AI is still not as accurate as a human expert. Hence the need to do minor touches by an expert. However, the gap between AI and the human expert is shrinking at an exponential rate.

A few years from now, AI will be able to do this completely on its own.

Truly exciting!

X Post of the Day!

AR/VR is taking medical imaging by storm!


Share with friends, get 30 carefully chosen colab notebooks for Medical AI!

Have friends who'd love our newsletter too?

Give them your unique referral link (below) and get access to 30 colab notebooks for medical AI that we handpicked them just for you!

[RH_REFLINK GOES HERE]

PS: You have referred [RH_TOTREF GOES HERE]/1 people so far

⚡️ by SparkLoop

We Can Help You with Your Next Medical Imaging Project

If your company or organization is looking to build a machine learning solution for a medical imaging problem, then feel free to reach out to us at:

contact@pycad.co

We can help you build a full ML solution from training to deployment with affordable rates!

You can check out some of the projects that we worked on here:

https://pycad.co/portfolio and some of our clients case studies here.


That's it for this week's edition, I hope you enjoyed it!

Machine Learning for Medical Imaging

by Nour Islam Mokhtari from pycad.co

👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!

Read more from Machine Learning for Medical Imaging

Hi Reader,, Welcome to the PYCAD newsletter, where every week you receive doses of machine learning and computer vision techniques and tools to help you learn how to build AI solutions to empower the most vulnerable members of our society, patients. TotalSegmentator : Whole Body Segmentation at your Fingertips This free tool available online can do full body segmentation, it's called TotalSegmentator. I have already mentioned this tool in a previous edition of the newsletter, but in this...

12 days ago • 3 min read

Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ How we helped accelerate inference time for a client's AI product Below is a screenshot of a benchmark we did for a client of ours. The goal was to accelerate inference time. This...

25 days ago • 3 min read

Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ Start your AI journey HERE! A lot of people contact me to ask me how they should start their learning journey for AI in Medical Imaging. Here's a short answer.AI for medical...

about 1 month ago • 2 min read
Share this post