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Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Computer aided detection (CAD) systems can assist radiologists by offering a second opinion on early diagnosis of lung cancer. Classification and feature representation play critical roles in false-positive reduction (FPR) in lung nodule CAD. We design a deep convolutional neural networks method for...

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Detalles Bibliográficos
Autores principales:	Li, Wei, Cao, Peng, Zhao, Dazhe, Wang, Junbo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192289/ https://www.ncbi.nlm.nih.gov/pubmed/28070212 http://dx.doi.org/10.1155/2016/6215085

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