Pretrained Microscopy Encoder - dpn98 (micronet)

This is a dpn98 encoder pretrained on micronet microscopy datasets, prepared for use with segmentation_models.pytorch.

Models originally pretrained for pretrained-microscopy-models

Model Details

  • Architecture: dpn98
  • Pretrained on: micronet
  • Input shape: RGB images
  • Framework: PyTorch
  • Use case: Feature extraction, segmentation backbone

Files

  • encoder_weights.pth - PyTorch state_dict() of the encoder
  • README.md - This model card
  • encoder.py - Sample code to use the encoder within UNet.

License

mit

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