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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs
PURPOSE: To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. MATERIALS AND METHODS: In a retrospective study, 216 431 frontal chest radiographs obtained between 1998 and 2012 were procured, along with associat...
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| Publicado no: | Radiology |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6358056/ https://ncbi.nlm.nih.gov/pubmed/30422093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2018181422 |
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