Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning

The classification process of lung nodule detection in a traditional computer-aided detection (CAD) system is complex, and the classification result is heavily dependent on the performance of each step in lung nodule detection, causing low classification accuracy and high false positive rate. In ord...

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Detalles Bibliográficos
Autores principales: Wu, Panpan, Sun, Xuanchao, Zhao, Ziping, Wang, Haishuai, Pan, Shirui, Schuller, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149413/
https://www.ncbi.nlm.nih.gov/pubmed/32318102
http://dx.doi.org/10.1155/2020/8975078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7149413/
https://www.ncbi.nlm.nih.gov/pubmed/32318102
http://dx.doi.org/10.1155/2020/8975078

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