dorsal/arxiv
View SchemaGPCALMA, a mammographic CAD in a GRID connection
| Authors | U. Bottigli, P. G. Cerello, P. Delogu, M. E. Fantacci, F. Fauci, B. Golosio, A. Lauria, E. Lopez Torres, R. Magro, G. L. Masala, P. Oliva, R. Palmiero, G. Raso, A. Retico, S. Stumbo, S. Tangaro |
|---|---|
| Categories | |
| ArXiv ID | physics/0304019 |
| URL | https://arxiv.org/abs/physics/0304019 |
| Journal | International Congress Series 1256 (2003) 944-949 |
Abstract
Purpose of this work is the development of an automatic system which could be useful for radiologists in the investigation of breast cancer. A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. GPCALMA (Grid Platform Computer Assisted Library for MAmmography), a collaboration among italian physicists and radiologists, has built a large distributed database of digitized mammographic images (at this moment about 5500 images corresponding to 1650 patients). This collaboration has developed a CAD (Computer Aided Detection) system which, installed in an integrated station, can also be used for digitization, as archive and to perform statistical analysis. With a GRID configuration it would be possible for the clinicians tele- and co-working in new and innovative groupings ('virtual organisations') and, using the whole database, by the GPCALMA tools several analysis can be performed. Furthermore the GPCALMA system allows to be abreast of the CAD technical progressing into several hospital locations always with remote working by GRID connection. We report in this work the results obtained by the GPCALMA CAD software implemented with a GRID connection.
{
"annotation_id": "f730f2e8-b6ab-4bf3-8d0d-def706702c92",
"date_created": "2026-03-02T18:00:43.471000Z",
"date_modified": "2026-03-02T18:00:43.471000Z",
"file_hash": "977cdbfe746d38e2757d2c1227e1d487eaa51a1049c4df75b91a97dfd7b1754b",
"private": false,
"record": {
"abstract": "Purpose of this work is the development of an automatic system which could be\nuseful for radiologists in the investigation of breast cancer. A breast\nneoplasia is often marked by the presence of microcalcifications and massive\nlesions in the mammogram: hence the need for tools able to recognize such\nlesions at an early stage. GPCALMA (Grid Platform Computer Assisted Library for\nMAmmography), a collaboration among italian physicists and radiologists, has\nbuilt a large distributed database of digitized mammographic images (at this\nmoment about 5500 images corresponding to 1650 patients). This collaboration\nhas developed a CAD (Computer Aided Detection) system which, installed in an\nintegrated station, can also be used for digitization, as archive and to\nperform statistical analysis. With a GRID configuration it would be possible\nfor the clinicians tele- and co-working in new and innovative groupings\n(\u0027virtual organisations\u0027) and, using the whole database, by the GPCALMA tools\nseveral analysis can be performed. Furthermore the GPCALMA system allows to be\nabreast of the CAD technical progressing into several hospital locations always\nwith remote working by GRID connection. We report in this work the results\nobtained by the GPCALMA CAD software implemented with a GRID connection.",
"arxiv_id": "physics/0304019",
"authors": [
"U. Bottigli",
"P. G. Cerello",
"P. Delogu",
"M. E. Fantacci",
"F. Fauci",
"B. Golosio",
"A. Lauria",
"E. Lopez Torres",
"R. Magro",
"G. L. Masala",
"P. Oliva",
"R. Palmiero",
"G. Raso",
"A. Retico",
"S. Stumbo",
"S. Tangaro"
],
"categories": [
"physics.med-ph"
],
"journal_ref": "International Congress Series 1256 (2003) 944-949",
"title": "GPCALMA, a mammographic CAD in a GRID connection",
"url": "https://arxiv.org/abs/physics/0304019"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "7ff222bd-981b-4b7a-a012-a1795df18c16",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}