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unet-architecture

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Retina_Blood_Vessel_Segmentation

The project involves using a dataset of 100 high-resolution retinal fundus images for blood vessel segmentation to aid in early detection of retinal pathologies | Implemented U-Net architecture from scratch, known for its efficiency in semantic segmentation with limited data | The final model achieved 86% IoU score | PyTorch Lightning

  • Updated Aug 5, 2024
  • Python

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