dorsal/arxiv
View SchemaLung Nodule Detection in Screening Computed Tomography
| Authors | I. Gori, R. Bellotti, P. Cerello, S. C. Cheran, G. De Nunzio, M. E. Fantacci, P. Kasae, G. L. Masala, A. Preite Martinez, A. Retico |
|---|---|
| Categories | |
| ArXiv ID | physics/0701161 |
| URL | https://arxiv.org/abs/physics/0701161 |
| DOI | 10.1109/NSSMIC.2006.353752 |
Abstract
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images with 1.25 mm slice thickness is presented. The basic modules of our lung-CAD system, a dot-enhancement filter for nodule candidate selection and a neural classifier for false-positive finding reduction, are described. The results obtained on the collected database of lung CT scans are discussed.
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"abstract": "A computer-aided detection (CAD) system for the identification of pulmonary\nnodules in low-dose multi-detector helical Computed Tomography (CT) images with\n1.25 mm slice thickness is presented. The basic modules of our lung-CAD system,\na dot-enhancement filter for nodule candidate selection and a neural classifier\nfor false-positive finding reduction, are described. The results obtained on\nthe collected database of lung CT scans are discussed.",
"arxiv_id": "physics/0701161",
"authors": [
"I. Gori",
"R. Bellotti",
"P. Cerello",
"S. C. Cheran",
"G. De Nunzio",
"M. E. Fantacci",
"P. Kasae",
"G. L. Masala",
"A. Preite Martinez",
"A. Retico"
],
"categories": [
"physics.med-ph"
],
"doi": "10.1109/NSSMIC.2006.353752",
"title": "Lung Nodule Detection in Screening Computed Tomography",
"url": "https://arxiv.org/abs/physics/0701161"
},
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