Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Radiomic features are being increasingly studied for clinical applications. We aimed to assess the agreement among radiomic features when computed by several groups by using different software packages under very tightly controlled conditions, which included standardized feature definitions and comm...

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Detalles Bibliográficos
Autores principales: McNitt-Gray, M., Napel, S., Jaggi, A., Mattonen, S.A., Hadjiiski, L., Muzi, M., Goldgof, D., Balagurunathan, Y., Pierce, L.A., Kinahan, P.E., Jones, E.F., Nguyen, A., Virkud, A., Chan, H.P., Emaminejad, N., Wahi-Anwar, M., Daly, M., Abdalah, M., Yang, H., Lu, L., Lv, W., Rahmim, A., Gastounioti, A., Pati, S., Bakas, S., Kontos, D., Zhao, B., Kalpathy-Cramer, J., Farahani, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289262/
https://www.ncbi.nlm.nih.gov/pubmed/32548288
http://dx.doi.org/10.18383/j.tom.2019.00031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289262/
https://www.ncbi.nlm.nih.gov/pubmed/32548288
http://dx.doi.org/10.18383/j.tom.2019.00031

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