Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer

Radiomics is a method to mine large numbers of quantitative imaging features and develop predictive models. It has shown exciting promise for improved cancer decision support from early detection to personalized precision treatment, and therefore offers a desirable new direction for pancreatic cance...

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Detalles Bibliográficos
Autores principales: Wong, Jeffrey, Baine, Michael, Wisnoskie, Sarah, Bennion, Nathan, Zheng, Dechun, Yu, Lei, Dalal, Vipin, Hollingsworth, Michael A., Lin, Chi, Zheng, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357939/
https://www.ncbi.nlm.nih.gov/pubmed/34381070
http://dx.doi.org/10.1038/s41598-021-95152-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357939/
https://www.ncbi.nlm.nih.gov/pubmed/34381070
http://dx.doi.org/10.1038/s41598-021-95152-x

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