Convolutional Neural Network Addresses the Confounding Impact of CT Reconstruction Kernels on Radiomics Studies

Achieving high feature reproducibility while preserving biological information is one of the main challenges for the generalizability of current radiomics studies. Non-clinical imaging variables, such as reconstruction kernels, have shown to significantly impact radiomics features. In this study, we...

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Detalles Bibliográficos
Autores principales: Yoon, Jin H., Sun, Shawn H., Xiao, Manjun, Yang, Hao, Lu, Lin, Li, Yajun, Schwartz, Lawrence H., Zhao, Binsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707549/
https://www.ncbi.nlm.nih.gov/pubmed/34941646
http://dx.doi.org/10.3390/tomography7040074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707549/
https://www.ncbi.nlm.nih.gov/pubmed/34941646
http://dx.doi.org/10.3390/tomography7040074

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