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A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules
In this paper an improved Computer Aided Design system can offer a second opinion to radiologists on early diagnosis of pulmonary nodules on CT (Computer Tomography) images. A Deep Convolutional Neural Network (DCNN) method is used for feature extraction and hybridize as combination of Convolutional...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
West Asia Organization for Cancer Prevention
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6897038/ https://www.ncbi.nlm.nih.gov/pubmed/30803208 http://dx.doi.org/10.31557/APJCP.2019.20.2.457 |