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 imaging is a subset of machine learning and computer vision.

So if you learn the fundamentals of these 2, then you'll be building a strong foundation for medical imaging.

There are many resources out there for learning the fundamentals of machine learning and computer vision. I will not outline them here.

However, if there is one starting point that I would recommend to anyone coming to the field of machine learning, and especially deep learning then it's the video about neural networks from Andrej Karpathy.

I had this video in my bucket list for a while and was able to find time to watch it yesterday.

I think it's the best resource you can find online to learn how neural networks work.

I am saying this because I have seen a ton of content online about this topic. But very few come close to the explanation mentioned in this video.

Maybe Andrew Ng ML course on Coursera comes as a close second when it comes to explaining how neural networks work.

Video can be found below ↓

X Post of the Day

NEJM AI

@NEJM_AI

A novel AI–based system provides accurate and generalizable broad-spectrum disorder detection in medical imaging. Read the Original Article by Yuwei He, PhD, et al.: https://nejm.ai/4aCdTfC

4:0 PM • Apr 10, 2024

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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

Start your AI journey here!

Start your AI journey HERE!

X Post of the Day

We Can Help You with Your Next Medical Imaging Project

Machine Learning for Medical Imaging

In-depth look at TotalSegmentator

Medical imaging expert told me this

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