dorsal/arxiv
View SchemaComputer-aided detection of pulmonary nodules in low-dose CT
| Authors | P. Delogu, M. E. Fantacci, I. Gori, A. Preite Martinez, A. Retico |
|---|---|
| Categories | |
| ArXiv ID | physics/0701138 |
| URL | https://arxiv.org/abs/physics/0701138 |
Abstract
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical CT images with 1.25 mm slice thickness is being developed in the framework of the INFN-supported MAGIC-5 Italian project. The basic modules of our lung-CAD system, a dot enhancement filter for nodule candidate selection and a voxel-based neural classifier for false-positive finding reduction, are described. Preliminary results obtained on the so-far 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 CT images with 1.25 mm slice\nthickness is being developed in the framework of the INFN-supported MAGIC-5\nItalian project. The basic modules of our lung-CAD system, a dot enhancement\nfilter for nodule candidate selection and a voxel-based neural classifier for\nfalse-positive finding reduction, are described. Preliminary results obtained\non the so-far collected database of lung CT scans are discussed.",
"arxiv_id": "physics/0701138",
"authors": [
"P. Delogu",
"M. E. Fantacci",
"I. Gori",
"A. Preite Martinez",
"A. Retico"
],
"categories": [
"physics.med-ph"
],
"title": "Computer-aided detection of pulmonary nodules in low-dose CT",
"url": "https://arxiv.org/abs/physics/0701138"
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