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Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks
A three-dimensional (3-D) convolutional neural network (CNN) trained from scratch is presented for the classification of pulmonary nodule malignancy from low-dose chest CT scans. Recent approval of lung cancer screening in the United States provides motivation for determining the likelihood of malig...
Tallennettuna:
| Julkaisussa: | J Med Imaging (Bellingham) |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Society of Photo-Optical Instrumentation Engineers
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5685809/ https://ncbi.nlm.nih.gov/pubmed/29181428 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.4.4.041308 |
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