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2D CNN versus 3D CNN for false-positive reduction in lung cancer screening
Purpose: To clarify whether and to what extent three-dimensional (3D) convolutional neural network (CNN) is superior to 2D CNN when applied to reduce false-positive nodule detections in the scenario of low-dose computed tomography (CT) lung cancer screening. Approach: We established a dataset consis...
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| Опубликовано в: : | J Med Imaging (Bellingham) |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7550796/ https://ncbi.nlm.nih.gov/pubmed/33062802 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.5.051202 |
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