UNETR Implementation for 2D Segmentation in PyTorch | UNTER = Vision Transformer + CNN Decoder

In this video, I will show you how to implement UNETR for a 2D segmentation model in PyTorch.

By the end of this video, you will be able to:
1. Understand the architecture of UNETR
2. Implement UNETR in TensorFlow
3. Use UNETR to segment images
If you want to learn more about UNETR or 2D segmentation, I encourage you to watch this video.

Code: https://github.com/nikhilroxtomar/Sem...

Timeline:
00:00 - Introduction
00:15 - What is UNETR?
02:08 - What is Vision Transformer (ViT)
04:13 - Image to Patch Processing
07:31 - Importing PyTorch
08:17 - Conv Block
09:23 - Deconv Block
11:13 - Begin with the Implementation of UNETR-2D
12:10 - Configuration of the hyperparameters
14:00 - Patch and Position Embeddings
18:53 - Transformer Encoder
22:43 - CNN Decoder
38:22 - Output layer
41:13 - Transformer Encoder block explanation
42:29 - Ending (Thank You)

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