Deep Learning Models for Cystoscopic Recognition of Hunner Lesion in Interstitial Cystitis.

ABSTRACT:

Background

Accurate cystoscopic recognition of Hunner lesions (HLs) is indispensable for better treatment prognosis in managing patients with Hunner-type interstitial cystitis (HIC), but frequently challenging due to its varying appearance.

Objective

To develop a deep learning (DL) system for cystoscopic recognition of a HL using artificial intelligence (AI).

Design setting and participants

A total of 626 cystoscopic images collected from January 8, 2019 to December 24, 2020, consisting of 360 images of HLs from 41 patients with HIC and 266 images of flat reddish mucosal lesions resembling HLs from 41 control patients including those with bladder cancer and other chronic cystitis, were used to create a dataset with an 8:2 ratio of training images and test images for t

SUBMITTER: Iwaki T 

PROVIDER: S-EPMC9975003 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature