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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:J Med Imaging (Bellingham)
المؤلفون الرئيسيون: 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.
التنسيق: Artigo
اللغة:Inglês
منشور في: Society of Photo-Optical Instrumentation Engineers 2020
الموضوعات:
Computer-Aided Diagnosis
الوصول للمادة أونلاين: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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