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soft-attention

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Soft attention transfer learning for lung cancer identification on CT and histopathology scans. Datasets: IQ-OTH/NCCD, LC25000, LIDC-IDRI. Published at IEEE ISACC 2025.

  • Updated Apr 24, 2025
  • Jupyter Notebook

Building a dockerized classifier for detecting dysplastic colon glands while guiding it's attention blocks by provided regions of interest. The attention block can be a soft attention in case of a CNN-based network and a self-attention in case of a ViT-based network ⚡.

  • Updated Nov 22, 2022
  • Jupyter Notebook

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