Machine Learning For Medical Image Analysis - How It Works

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  • Опубліковано 7 лют 2025
  • 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

КОМЕНТАРІ • 25

  • @JAMANetwork
    @JAMANetwork  5 місяців тому +2

    To learn more, click ja.ma/2piO4N5 to read "On Deep Learning for Medical Image Analysis" in JAMA.

  • @BijuRaju
    @BijuRaju 5 років тому +70

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

  • @hfe1833
    @hfe1833 5 років тому +8

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

  • @iLoveu4ll
    @iLoveu4ll 3 роки тому +5

    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.

  • @Realweight
    @Realweight 5 років тому +4

    The best explanation I have ever seen

  • @shaditashakori1152
    @shaditashakori1152 6 місяців тому +1

    a great video that can show the concept of image analysis with CNN, thank you guys!

  • @yashdalvi5461
    @yashdalvi5461 Місяць тому

    Best explanation found ever

  • @pranavb9768
    @pranavb9768 5 років тому +7

    Great video!Precise and pin point explanation!

  • @FeynmanMedicine
    @FeynmanMedicine 10 місяців тому +1

    Beautiful ❤, thanks for the simple and illustrative explanation

  • @monikarajput2017
    @monikarajput2017 Місяць тому

    Thanks .. this video is very helpful to understand CNN

  • @positiveinformationandfun5573
    @positiveinformationandfun5573 2 роки тому +1

    excellent briefing. many thanks sir.

  • @shubhamverma2106
    @shubhamverma2106 3 роки тому

    Really knowledgeable ! May world support you.

  • @yahyeali6830
    @yahyeali6830 4 роки тому +1

    Very outstanding video , thanks, go forward

  • @drm8164
    @drm8164 6 місяців тому

    very good explanation

  • @mohithciga5491
    @mohithciga5491 6 років тому +4

    Awesome!!

  • @ratansunderwatergopro8203
    @ratansunderwatergopro8203 Рік тому +1

    very clear explanations on CNN.

  • @jeromeheisler1589
    @jeromeheisler1589 11 місяців тому

    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?

  • @seangrady3649
    @seangrady3649 3 роки тому

    Great job

  • @huliliumd3902
    @huliliumd3902 4 роки тому +3

    Awesome+1

  • @HHKMarketing
    @HHKMarketing 11 місяців тому +1

    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.

  • @NZVZED
    @NZVZED 5 місяців тому

    Imagine if learning was as simple as video... Wait..

  • @HenrikSahlinPettersen
    @HenrikSahlinPettersen 3 роки тому +1

    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.