NIMG-23. COMPARISON OF A RADIO-PATHOMIC MODEL VERSUS A RADIOLOGY-ONLY TUMOR SEGMENTATION MODEL FOR THE DETECTION OF INFILTRATIVE TUMOR IN GLIOMA PATIENTS

This study used large format autopsy tissue samples to compare radio-pathomic maps of brain cancer to a current tumor segmentation algorithm. We hypothesized that an MRI-based machine learning model trained with actual histology rather than radiologist annotations cellularity would 1) improve deline...

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Опубликовано в: :Neuro Oncol
Главные авторы: Bobholz, Samuel, Lowman, Allison, Connelly, Jennifer, Cochran, Elizabeth, Mueller, Wade, McGarry, Sean, Brehler, Michael, Gliszinski, Cassandra, Wilczynski, Anna, LaViolette, Peter
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2020
Предметы:
Neuroimaging
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7651150/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noaa215.636
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