3D Image Segmentation CTMRI with a 2D UNET Part1 Data preparation

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Video series on how to perform volumetric (3D) image segmentation using deep learning with the popular 2D UNET architecture and TensorFlow 2. • In medical imaging, typical image volume types are MRI or CT images. In this video, I show how a simple 2D neural network can be trained to perform 3D image volume segmentation. • This video is the first in a series of 3: • 1: Dataset preparation:    • 3D Image Segmentation (CT/MRI) with a...   • 2: Configuring and training a deep neural network:    • 3D Image Segmentation (CT/MRI) with a...   • 3: Using the trained model to perform image segmentation:    • 3D Image Segmentation (CT/MRI) with a...   • Unfortunately, the used images have not been possible to make available online, but all code is available on my GitHub repository: https://github.com/madsendennis/noteb... • The UNET implementation is inspired by this CNN basics course: https://github.com/fmi-basel/faim-cnn...

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