Kvasir-SEG_EMCAD/metadata.json

{
  "dataset": "Kvasir-SEG",
  "model_name": "EMCAD",
  "model_links": [],
  "paper_title": "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation",
  "paper_url": "https://arxiv.org/abs/2405.06880v1",
  "metrics": {
    "mean Dice": "0.928"
  },
  "table_metrics": {
    "mean Dice": "0.928"
  },
  "prompts": [
    "Given the following paper and codebase:\nPaper: EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation\nCodebase: Repository not available\n\nImprove the EMCAD model on the Kvasir-SEG dataset. The result should improve on the following metrics: {'mean Dice': '0.928'}. You must use only the codebase provided."
  ]
}