Brain Tumor Segmentation using UNETR in TensorFlow | Vision Transformer for Image Segmentation
📺 Video Description: In this video, we are going to train the UNEt TRansformers (UNETR) architecture on the Brain Tumor Segmentation.
UNETR, or UNet Transformer, is a specialized architecture for medical image segmentation. It uses a pure transformer as the encoder, focusing on learning sequence representations for the input volume to capture global multi-scale information. The encoder connects directly to a decoder through skip connections, forming a U-Net-like structure and producing the ultimate semantic segmentation output.
🔧 Code: https://github.com/nikhilroxtomar/Bra...
📊 Dataset:
https://www.kaggle.com/datasets/nikhi...
https://figshare.com/articles/dataset...
🕒 Timeline:
00:00 - Introduction
02:01 - Dataset and Project Structure
03:16 - UNETR Architecture
05:41 - Training the UNETR
22:31 - Testing the UNETR
32:38 - Conclusion
Binary Image Segmentation using UNETR in TensorFlow: • Image Segmentation using UNETR in Ten...
UNETR Implementation in TensorFlow: • UNET Transformers: UNETR Implementati...
UNETR Implementation in PyTorch: • UNETR Implementation for 2D Segmentat...
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