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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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2020
Assuntos:
Computer-Aided Diagnosis
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7479263/
https://ncbi.nlm.nih.gov/pubmed/32923510
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.5.054501
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