Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility

OBJECTIVES: To investigate sources of variation in a multicenter rectal cancer MRI dataset focusing on hardware and image acquisition, segmentation methodology, and radiomics feature extraction software. METHODS: T2W and DWI/ADC MRIs from 649 rectal cancer patients were retrospectively acquired in 9...

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Detalles Bibliográficos
Autores principales: Schurink, Niels W., van Kranen, Simon R., Roberti, Sander, van Griethuysen, Joost J. M., Bogveradze, Nino, Castagnoli, Francesca, el Khababi, Najim, Bakers, Frans C. H., de Bie, Shira H., Bosma, Gerlof P. T., Cappendijk, Vincent C., Geenen, Remy W. F., Neijenhuis, Peter A., Peterson, Gerald M., Veeken, Cornelis J., Vliegen, Roy F. A., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831294/
https://www.ncbi.nlm.nih.gov/pubmed/34655313
http://dx.doi.org/10.1007/s00330-021-08251-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831294/
https://www.ncbi.nlm.nih.gov/pubmed/34655313
http://dx.doi.org/10.1007/s00330-021-08251-8

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