3D Image Segmentation (CT/MRI) with a 2D UNET - Part2: Model training with TensorFlow 2

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 second in a series of 3: 1: Dataset preparation 2: Configuring and training a deep neural network 3: Using the trained model to perform image segmentation In this video