Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.

ABSTRACT: Advances in infrared (IR) spectroscopic imaging instrumentation and data science now present unique opportunities for large validation studies of the concept of histopathology using spectral data. In this study, we examine the discrimination potential of IR metrics for different histologic classes to estimate the sample size needed for designing validation studies to achieve a given statistical power and statistical significance. Next, we present an automated annotation transfer tool that can allow large-scale training/validation, overcoming the limitations of sparse ground truth data with current manual approaches by providing a tool to transfer pathologist annotations from stained images to IR images across diagnostic categories. Finally, the results of a combination of supervised and un

SUBMITTER: Mittal S 

PROVIDER: S-EPMC9202564 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature