Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer

Purpose: Our study predictively maps epithelium density in magnetic resonance imaging (MRI) space while varying the ground truth labels provided by five pathologists to quantify the downstream effects of interobserver variability. Approach: Clinical imaging and postsurgical tissue from 48 recruited...

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Detalles Bibliográficos
Autores principales: McGarry, Sean D., Bukowy, John D., Iczkowski, Kenneth A., Lowman, Allison K., Brehler, Michael, Bobholz, Samuel, Nencka, Andrew, Barrington, Alex, Jacobsohn, Kenneth, Unteriner, Jackson, Duvnjak, Petar, Griffin, Michael, Hohenwalter, Mark, Keuter, Tucker, Huang, Wei, Antic, Tatjana, Paner, Gladell, Palangmonthip, Watchareepohn, Banerjee, Anjishnu, LaViolette, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Computer-Aided Diagnosis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479263/
https://www.ncbi.nlm.nih.gov/pubmed/32923510
http://dx.doi.org/10.1117/1.JMI.7.5.054501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479263/
https://www.ncbi.nlm.nih.gov/pubmed/32923510
http://dx.doi.org/10.1117/1.JMI.7.5.054501

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