Ahmed Hosny
Ahmed Hosny
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Deep learning radiomics in cancer imaging - AACR 2021
This presentation was part of the AACR Virtual Special Conference: Artificial Intelligence, Diagnosis, and Imaging - January 13-14 2021
Plenary session 2: learning from images: radiomics
www.aacr.org/meeting/artificial-intelligence-2021/program-2/
Abstract:
Radiographic medical images contain a vast wealth of information allowing for accurate non-invasive tumor characterization and ultimately improving cancer care. Radiomics enables the extraction of mineable high-dimensional features from images, quantification of tumor phenotypes for survival, recurrence, and treatment response prediction, and ultimately better patient stratification. Recent advances in AI, deep learning in particular, has allowed for the automated extraction of imaging features without the need for pre-definition. In this talk, we will be exploring deep learning radiomics applications in cancer patients from both single time point and longitudinal imaging data. We will also be identifying challenges regarding the stability, reproducibility, and transparency of such approaches.
มุมมอง: 11 150

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ความคิดเห็น

  • @msa5202
    @msa5202 10 หลายเดือนก่อน

    ما شاء الله

  • @hasanshahriyer45
    @hasanshahriyer45 ปีที่แล้ว

    Keep up the good work 🤩😍

  • @chencho33333
    @chencho33333 ปีที่แล้ว

    The same for me ... I´ll been serching how for two weeks😄

  • @justinwienand2333
    @justinwienand2333 2 ปีที่แล้ว

    Much appreciated. I used to use version 4 and couldn't for the life of me figure out how to export in 5.2.. This workflow is so much easier!!!

  • @abdul6148
    @abdul6148 2 ปีที่แล้ว

    I am working on radiomics model for predicting cancer and I have some questions if you have time to discuss please let me know

  • @selenkideys2278
    @selenkideys2278 2 ปีที่แล้ว

    Can you please share the txt files

  • @gabrielbenevento990
    @gabrielbenevento990 2 ปีที่แล้ว

    why?

  • @Medoxyify
    @Medoxyify 3 ปีที่แล้ว

    Hey Ahmed, thank you so much for this great video. I am working on exporting 4D volumes from 3D TEE to be viewed on virtual reality headsets. I am facing a lot of barriers but I was able to use your method to reconstruct one frame at a time. 4 years after making this video, do you have any new tricks or helpful tips to share?

  • @kentvandervelden
    @kentvandervelden 3 ปีที่แล้ว

    Very interesting!

  • @funchitecture
    @funchitecture 3 ปีที่แล้ว

    Plese teach us how did you integrate them both?

  • @phantomplayer-gu6mg
    @phantomplayer-gu6mg 4 ปีที่แล้ว

    and what shuld the camera do????

  • @MisteryGanz
    @MisteryGanz 4 ปีที่แล้ว

    I can't believe that you answered in 28 seconds what these guys failed to answer in 3 years: discourse.slicer.org/t/save-volume-rendering-as-stl-file/524

  • @Ingersoll58
    @Ingersoll58 5 ปีที่แล้ว

    When can we buy one?

  • @dhanrajmadesiya2047
    @dhanrajmadesiya2047 5 ปีที่แล้ว

    In which software you use to alling STL data with mirror

  • @MahmoudOuf
    @MahmoudOuf 6 ปีที่แล้ว

    Thanks for sharing!!

  • @MahmoudOuf
    @MahmoudOuf 7 ปีที่แล้ว

    Awesome ! is there any English translation ?

    • @ahmedhosny4838
      @ahmedhosny4838 7 ปีที่แล้ว

      Hay! Unfortunately no, but you get the gist of it :)

  • @nima.zahiri
    @nima.zahiri 7 ปีที่แล้ว

    Hi Can I have the GH file?

  • @cajelly
    @cajelly 7 ปีที่แล้ว

    Awesome video!!!

  • @MahmoudOuf
    @MahmoudOuf 7 ปีที่แล้ว

    Awesome!!

  • @MahmoudOuf
    @MahmoudOuf 7 ปีที่แล้ว

    Thanks so much.

  • @lluhu
    @lluhu 8 ปีที่แล้ว

    Ahmed, could you please make a short video where you explain very very slowly and step by step how to connect grasshopper and matlab? I think this may be obvious for you, but would be very useful for most of us. Thanks in advance.

  • @MahmoudOuf
    @MahmoudOuf 9 ปีที่แล้ว

    great work . :)

  • @jmvanlith
    @jmvanlith 9 ปีที่แล้ว

    Dear Ahmed, After running both millipede and the top3dapp in matlab I was also interested in a direct link with matlab and GH, because I presume it runs quicker than millipede. Could you share the GH script? Thanks a lot!