You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
5 March 2021Statistical considerations in spectral histopathology and performance evaluation
Spectroscopic imaging offers a potential path to all-digital molecular pathology by relating the spectral data to histopathological details of tissue. In the different statistical approaches applied to spectral data, there are gaps in the appropriate sample size estimation for a significant statistical power and accurate model assessment especially for multiclass problems. Underestimation of the sample size can lead to statistically insignificant diagnostic tests while an overestimation can greatly increase experimental costs and time frames.Since the receiver operating characteristic (ROC) curve is designed primarily for a binary test, there are no straightforward approaches to use it for multiple classes in a typical pathology image. In this study, we have described sample size estimation (power analysis) and multiclass diagnostic ROC curve generation for hyperspectral datasets.
Shachi Mittal andRohit Bhargava
"Statistical considerations in spectral histopathology and performance evaluation", Proc. SPIE 11656, Advanced Chemical Microscopy for Life Science and Translational Medicine 2021, 1165614 (5 March 2021); https://doi.org/10.1117/12.2577920
The alert did not successfully save. Please try again later.
Shachi Mittal, Rohit Bhargava, "Statistical considerations in spectral histopathology and performance evaluation," Proc. SPIE 11656, Advanced Chemical Microscopy for Life Science and Translational Medicine 2021, 1165614 (5 March 2021); https://doi.org/10.1117/12.2577920