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...

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Detalles Bibliográficos
Autores principales: Kailasam, S Piramu, Sathik, M Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2019
Materias:
Research Article
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

Internet

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

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