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Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database
OBJECTIVES: To benchmark the performance of state-of-the-art computer-aided detection (CAD) of pulmonary nodules using the largest publicly available annotated CT database (LIDC/IDRI), and to show that CAD finds lesions not identified by the LIDC’s four-fold double reading process. METHODS: The LIDC...
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| Pubblicato in: | Eur Radiol |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Berlin Heidelberg
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4902840/ https://ncbi.nlm.nih.gov/pubmed/26443601 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-015-4030-7 |
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