Medical Image Segmentation

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Compétences que vous apprendrez

Deep Learning, Image Segmentation, Machine Learning, model evaluation, Multi-class classification

Avis

4.7 (1,717 évaluations)

  • 5 stars
    75,77 %
  • 4 stars
    18,63 %
  • 3 stars
    3,66 %
  • 2 stars
    1,28 %
  • 1 star
    0,64 %

ZT

14 juil. 2020

Complex topics are explained in a simple and straight-forward manner. Really interesting real-life scenarios are used to keep the student interested throughout the whole course. 100% recommend it.

AN

5 mai 2020

Last assignment may be divided into two files... as it is becoming heavy to solve and even upload.\n\nRest is fine. Congratulation on designing such a pin pointed course in Medical Diagnosis

À partir de la leçon

Image Segmentation on MRI Images

By the end of this week, you will prepare 3D MRI data, implement an appropriate loss function for image segmentation, and apply a pre-trained U-net model to segment tumor regions in 3D brain MRI images.

Enseigné par

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    Pranav Rajpurkar

    Instructor

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    Bora Uyumazturk

    Curriculum Developer

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    Amirhossein Kiani

    Curriculum Engineer

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    Eddy Shyu

    Senior Curriculum Developer

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