Deep Learning for Cell Imaging Segmentation - Lecture 20 - MIT ML in Life Sciences (Spring 2021)

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  • เผยแพร่เมื่อ 11 พ.ย. 2024

ความคิดเห็น • 5

  • @theresameuse8583
    @theresameuse8583 3 ปีที่แล้ว

    21. : features into the CNN could be a hirearchical vector cuantization, as has been done for a long time in H.261 image compression

  • @mohamedltraore7703
    @mohamedltraore7703 2 ปีที่แล้ว

    Where can I get papers related to these proposed neural network architectures ? Thanks in advance .

  • @surfer101ist
    @surfer101ist 2 ปีที่แล้ว

    Thank you for this!

  • @spicule123
    @spicule123 3 ปีที่แล้ว

    Hi Manolis Kellis! Thank you so much for sharing this content. This is incredible! One question: the slides for this particular lecture are not available on github right ?

  • @HenrikSahlinPettersen
    @HenrikSahlinPettersen 3 ปีที่แล้ว +2

    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: th-cam.com/video/9dTfUwnL6zY/w-d-xo.html (especially suited for histopathological whole slide images).