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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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| Publicat a: | J Digit Imaging |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer International Publishing
2020
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| Matèries: | |
| Accés en línia: | 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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