Machine Learning For Medical Image Analysis - How It Works
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- Опубликовано: 20 сен 2024
- 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
To learn more, click ja.ma/2piO4N5 to read "On Deep Learning for Medical Image Analysis" in JAMA.
One of the best videos on CNN and deep learning for a beginner!!
Thank you!
This Explanation is vey easy to understand than previous video and textbook combined i saw before in machine learning
a great video that can show the concept of image analysis with CNN, thank you guys!
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.
Beautiful ❤, thanks for the simple and illustrative explanation
The best explanation I have ever seen
Great video!Precise and pin point explanation!
very clear explanations on CNN.
excellent briefing. many thanks sir.
very good explanation
Really knowledgeable ! May world support you.
Very outstanding video , thanks, go forward
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.
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?
Awesome!!
Thank you!
Great job
Awesome+1
Imagine if learning was as simple as video... Wait..
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: ruclips.net/video/9dTfUwnL6zY/видео.html
The pipeline is especially suited for pathologists who are not programmers and want to do deep segmentation of histopathological whole slide images.