{
  "annotation_id": "0874790a-82d4-4ed5-9a64-91948ebb6554",
  "date_created": "2026-03-02T18:00:46.482000Z",
  "date_modified": "2026-03-02T18:00:46.482000Z",
  "file_hash": "ac0649d8297f11b52b458282a0d24f75a5d6787ece41fd1344bc80f54f7b6cbc",
  "private": false,
  "record": {
    "abstract": "The use of an automatic system for the analysis of mammographic images has\nproven to be very useful to radiologists in the investigation of breast cancer,\nespecially in the framework of mammographic-screening programs. A breast\nneoplasia is often marked by the presence of microcalcification clusters and\nmassive lesions in the mammogram: hence the need for tools able to recognize\nsuch lesions at an early stage. In the framework of the GPCALMA (GRID Platform\nfor Computer Assisted Library for MAmmography) project, the co-working of\nitalian physicists and radiologists built a large distributed database of\ndigitized mammographic images (about 5500 images corresponding to 1650\npatients) and developed a CAD (Computer Aided Detection) system, able to make\nan automatic search of massive lesions and microcalcification clusters. The CAD\nis implemented in the GPCALMA integrated station, which can be used also for\ndigitization, as archive and to perform statistical analyses. Some GPCALMA\nintegrated stations have already been implemented and are currently on clinical\ntrial in some italian hospitals. The emerging GRID technology can been used to\nconnect the GPCALMA integrated stations operating in different medical centers.\nThe GRID approach will support an effective tele- and co-working between\nradiologists, cancer specialists and epidemiology experts by allowing remote\nimage analysis and interactive online diagnosis.",
    "arxiv_id": "physics/0306198",
    "authors": [
      "U. Bottigli",
      "P. Cerello",
      "P. Delogu",
      "M. E. Fantacci",
      "F. Fauci",
      "G. Forni",
      "B. Golosio",
      "P. L. Indovina",
      "A. Lauria",
      "E. Lopez Torres",
      "R. Magro",
      "G. L. Masala",
      "P. Oliva",
      "R. Palmiero",
      "G. Raso",
      "A. Retico",
      "A. Stefanini",
      "S. Stumbo",
      "S. Tangaro"
    ],
    "categories": [
      "physics.med-ph"
    ],
    "title": "A Computer Aided Detection system for mammographic images implemented on   a GRID infrastructure",
    "url": "https://arxiv.org/abs/physics/0306198"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0dbb3b85-fac1-4bee-a066-cc5fa41b2fa3",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}