Machine Learning For Medical Image Analysis - How It Works

Machine learning can greatly improve a clinician’s ability to deliver medical care. This JAMA video talks to Google scientists and clinical methodologists to explain how one type of machine learning -- convolutional neural networks -- works. Read the article here: ja.ma/2piO4N5

[@BijuRaju]

One of the best videos on CNN and deep learning for a beginner!!

[@JAMANetwork]

Thank you!

[@hfe1833]

This Explanation is vey easy to understand than previous video and textbook combined i saw before in machine learning

[@pranavb9768]

Great video!Precise and pin point explanation!

[@hussienalbared8046]

The best explanation I have ever seen

[@iLoveu4ll]

I'm trying to understand how a home-use medical/genetic scanner with the ability to diagnose any metabolic disease and provide personalized nutritional/medicinal disease-regression therapies would be made. Thanks for such a great video. It is very useful in developing my understanding.

[@FeynmanMedicine]

Beautiful ❤, thanks for the simple and illustrative explanation

[@yahyeali6830]

Very outstanding video , thanks, go forward

[@positiveinformationandfun5573]

excellent briefing. many thanks sir.

[@shubhamverma2106]

Really knowledgeable ! May world support you.

[@seangrady3649]

Great job

[@mohithciga5491]

Awesome!!

[@JAMANetwork]

Thank you!

[@ratansunderwatergopro8203]

very clear explanations on CNN.

[@huliliumd3902]

Awesome+1

[@jeromeheisler1589]

Interesting video, but I am curious how one validates that if a new disease looks similar to the one studied, a misdiagnosis does not occur. CNN or filters are great, but how do we protect ourselves from unusual occurrences?

[@HHKMarketing]

While I enjoyed learning about CNNs and think they will continue to play an important role in healthcare, where have they been hiding Ada Lovelace! That's a cool bit of knowledge that she was the first programmer.

[@HenrikSahlinPettersen]

For a tutorial on how to do deep learning based segmentation without the need to write any code using only open-source free software, we have recently published an arXiv preprint of this pipeline with a tutorial video here: ua-cam.com/video/9dTfUwnL6zY/v-deo.html
The pipeline is especially suited for pathologists who are not programmers and want to do deep segmentation of histopathological whole slide images.