dorsal/arxiv
View SchemaA scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms
| Authors | A. Retico, P. Delogu, M. E. Fantacci, A. Preite Martinez, A. Stefanini, A. Tata |
|---|---|
| Categories | |
| ArXiv ID | physics/0701046 |
| URL | https://arxiv.org/abs/physics/0701046 |
| DOI | 10.1016/j.nima.2006.08.094 |
| Journal | Nuclear Instruments and Methods in Physics Research A 569 (2006) 601-605 |
Abstract
A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and artificial neural networks. It is able to identify microcalcifications in different kinds of mammograms (i.e. acquired with different machines and settings, digitized with different pitch and bit depth or direct digital ones). The CADe can be remotely run from GRID-connected acquisition and annotation stations, supporting clinicians from geographically distant locations in the interpretation of mammographic data. We report the FROC analyses of the CADe system performances on three different dataset of mammograms, i.e. images of the CALMA INFN-founded database collected in the Italian National screening program, the MIAS database and the so-far collected MammoGrid images. The sensitivity values of 88% at a rate of 2.15 false positive findings per image (FP/im), 88% with 2.18 FP/im and 87% with 5.7 FP/im have been obtained on the CALMA, MIAS and MammoGrid database respectively.
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"abstract": "A computer-aided detection (CADe) system for microcalcification cluster\nidentification in mammograms has been developed in the framework of the\nEU-founded MammoGrid project. The CADe software is mainly based on wavelet\ntransforms and artificial neural networks. It is able to identify\nmicrocalcifications in different kinds of mammograms (i.e. acquired with\ndifferent machines and settings, digitized with different pitch and bit depth\nor direct digital ones). The CADe can be remotely run from GRID-connected\nacquisition and annotation stations, supporting clinicians from geographically\ndistant locations in the interpretation of mammographic data. We report the\nFROC analyses of the CADe system performances on three different dataset of\nmammograms, i.e. images of the CALMA INFN-founded database collected in the\nItalian National screening program, the MIAS database and the so-far collected\nMammoGrid images. The sensitivity values of 88% at a rate of 2.15 false\npositive findings per image (FP/im), 88% with 2.18 FP/im and 87% with 5.7 FP/im\nhave been obtained on the CALMA, MIAS and MammoGrid database respectively.",
"arxiv_id": "physics/0701046",
"authors": [
"A. Retico",
"P. Delogu",
"M. E. Fantacci",
"A. Preite Martinez",
"A. Stefanini",
"A. Tata"
],
"categories": [
"physics.med-ph"
],
"doi": "10.1016/j.nima.2006.08.094",
"journal_ref": "Nuclear Instruments and Methods in Physics Research A 569 (2006)\n 601-605",
"title": "A scalable Computer-Aided Detection system for microcalcification cluster identification in a pan-European distributed database of mammograms",
"url": "https://arxiv.org/abs/physics/0701046"
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