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An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection
Numerous lung nodule candidates can be produced through an automated lung nodule detection system. Classifying these candidates to reduce false positives is an important step in the detection process. The objective during this paper is to predict real nodules from a large number of pulmonary nodule...
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| Publicado no: | J Digit Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7522146/ https://ncbi.nlm.nih.gov/pubmed/32095944 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00326-0 |
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