A real-time classifier to predict the contribution of cystoscopy frames to 3D reconstructions

Audrey K. Bowden; Mayaank Pillai; Rachel Eimen; Kristen Scarpato

doi:10.1117/12.2650435

17 March 2023 A real-time classifier to predict the contribution of cystoscopy frames to 3D reconstructions

Audrey K. Bowden, Mayaank Pillai, Rachel Eimen, Kristen Scarpato

Author Affiliations +

Proceedings Volume PC12353, Advanced Photonics in Urology 2023; PC1235309 (2023) https://doi.org/10.1117/12.2650435
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

White light cystoscopy is key to inform care of patients with suspected or confirmed bladder cancer. Although three-dimensional reconstructions of cystoscopy videos can facilitate rapid, comprehensive review, they are limited by the quality of the original video. Here we address a fundamental bottleneck to reconstruction quality: real-time assessment of frame quality for eventual clinician guidance. We implemented nine metrics and combined them with a random forest classifier that achieves a sensitivity and specificity of 90.6% and 93.7%, respectively. We will use this classifier to perform real-time clinician guidance to facilitate acquisition of high-quality cystoscopy videos that produce robust three-dimensional reconstructions.

Conference Presentation

Citation Download Citation

Audrey K. Bowden, Mayaank Pillai, Rachel Eimen, and Kristen Scarpato "A real-time classifier to predict the contribution of cystoscopy frames to 3D reconstructions", Proc. SPIE PC12353, Advanced Photonics in Urology 2023, PC1235309 (17 March 2023); https://doi.org/10.1117/12.2650435

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE