NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image

Nonnegative sparse representation has become a popular methodology in medical analysis and diagnosis in recent years. In order to resolve network degradation, higher dimensionality in feature extraction, data redundancy, and other issues faced when medical images parameters are trained using convolu...

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Detalles Bibliográficos
Autores principales: Tao, Zhou, Bingqiang, Huo, Huiling, Lu, Zaoli, Yang, Hongbin, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787714/
https://www.ncbi.nlm.nih.gov/pubmed/33490248
http://dx.doi.org/10.1155/2020/6636321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787714/
https://www.ncbi.nlm.nih.gov/pubmed/33490248
http://dx.doi.org/10.1155/2020/6636321

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