Faculty, Staff and Student Publications

Publication Date

1-1-2024

Journal

Physics and Imaging in Radiation Oncology

Abstract

One of the key contributions of this study is the reappropriation of standard DL outputs as a quality indicator to identify cases that clinicians should review further. The authors achieve this by applying an empirically derived threshold to the softmax output of their DL network, computing the mean of the thresholded score map (termed the HiS metric), and correlating it with standard geometric quality indices. When juxtaposed with a mean entropy — a commonly used measure of model output uncertainty — HiS consistently demonstrated a stronger correlation with the geometric indices, suggesting its superior ability to stratify cases needing additional review. We applaud the authors' efforts for their novel contributions and would like to note some potential caveats that could pave the way for future research directions.

DOI

10.1016/j.phro.2023.100526

PMID

38179210

PMCID

PMC10765294

PubMedCentral® Posted Date

December 2023

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes

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