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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Détails bibliographiques
Publié dans:J Med Imaging (Bellingham)
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Society of Photo-Optical Instrumentation Engineers 2020
Sujets:
Computer-Aided Diagnosis
Accès en ligne: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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