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Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss
Early detection and classification of pulmonary nodules using computer-aided diagnosis (CAD) systems is useful in reducing mortality rates of lung cancer. In this paper, we propose a new deep learning method to improve classification accuracy of pulmonary nodules in computed tomography (CT) scans. O...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378763/ https://www.ncbi.nlm.nih.gov/pubmed/30863524 http://dx.doi.org/10.1155/2019/5156416 |