{
  "annotation_id": "c1da6fb8-2580-4ca6-8813-6fbe4c7f790f",
  "date_created": "2026-03-02T18:00:59.804000Z",
  "date_modified": "2026-03-02T18:00:59.804000Z",
  "file_hash": "1165c3553869ac9d7e8594899640dcb93240cd839e8bdd4faeec77bc63380f6e",
  "private": false,
  "record": {
    "abstract": "A system for the automated detection of massive lesions in mammograms is\npresented. The approach we adopted is a pixel-based and multi-level one. Each\npixel in a mammogram is flagged with the appropriate class membership, e.g.\nmassive lesions or normal breast tissue.",
    "arxiv_id": "physics/0507152",
    "authors": [
      "Ilaria Gori",
      "Alessandra Retico"
    ],
    "categories": [
      "physics.med-ph"
    ],
    "journal_ref": "International Congress Series 1281 (2005) 1394",
    "title": "A pixel-based approach to massive lesion detection in X-ray mammography",
    "url": "https://arxiv.org/abs/physics/0507152"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ed29e9da-32a5-4bfd-98f7-e221bf1d2d79",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}