• Home
  • Search
  • Semi-Supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images.
  • Cite Icon20
  • https://doi.org/10.1109/tbme.2023.3265679Copy DOI Icon

Semi-Supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images.

Show More
  • Abstract
  • Highlights & Summary
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

Accurate visual classification of bladder tissue during Trans-Urethral Resection of Bladder Tumor (TURBT) procedures is essential to improve early cancer diagnosis and treatment. During TURBT interventions, White Light Imaging (WLI) and Narrow Band Imaging (NBI) techniques are used for lesion detection. Each imaging technique provides diverse visual information that allows clinicians to identify and classify cancerous lesions. Computer vision methods that use both imaging techniques could improve endoscopic diagnosis. We address the challenge of tissue classification when annotations are available only in one domain, in our case WLI, and the endoscopic images correspond to an unpaired dataset, i.e. there is no exact equivalent for every image in both NBI and WLI domains. We propose a semi-surprised Generative Adversarial Network (GAN)-based method composed of three main components: a teacher network trained on the labeled WLI data; a cycle-consistency GAN to perform unpaired image-to-image translation, and a multi-input student network. To ensure the quality of the synthetic images generated by the proposed GAN we perform a detailed quantitative, and qualitative analysis with the help of specialists. The overall average classification accuracy, precision, and recall obtained with the proposed method for tissue classification are 0.90, 0.88, and 0.89 respectively, while the same metrics obtained in the unlabeled domain (NBI) are 0.92, 0.64, and 0.94 respectively. The quality of the generated images is reliable enough to deceive specialists. This study shows the potential of using semi-supervised GAN-based bladder tissue classification when annotations are limited in multi-domain data.

Similar Papers
  • Research Article

The treatment of non-musle-invasive cancer by narrow band imaging or white light imaging: a review and meta-analysis

  • Feb 15, 2017
  • Chinese Journal of Urology
  • Qiangzhao Liu +5
  • Research Article
  • Citations23

Narrow band imaging versus autofluorescence imaging for head and neck squamous cell carcinoma detection: a prospective study.

  • Oct 06, 2016
  • The Journal of Laryngology & Otology
  • X-G Ni +2
  • Research Article
  • Citations54

Narrow-Band Imaging<subtitle>A Novel Screening Tool for Early Nasopharyngeal Carcinoma</subtitle>

  • Feb 01, 2012
  • Archives of Otolaryngology–Head & Neck Surgery
  • Yi-Hui Wen
  • Research Article
  • Citations2

1278 NARROW BAND IMAGING DIGITAL FLEXIBLE URETEROSCOPY IN DETECTION OF THE UPPER URINARY TRACT TRANSITIONAL CELL CARCINOMA: INITIAL EXPERIENCE

  • Apr 01, 2010
  • Journal of Urology
  • Saeed Al-Qahtani +4
  • Research Article
  • Citations82

Narrow Band Imaging Cystoscopy and Bipolar Plasma Vaporization for Large Nonmuscle-invasive Bladder Tumors—Results of a Prospective, Randomized Comparison to the Standard Approach

  • Feb 18, 2012
  • Urology
  • Bogdan Geavlete +5
  • Abstract

Narrow Band Imaging in Gynecology

  • Oct 27, 2009
  • Journal of Minimally Invasive Gynecology
  • P.A Chauhan
  • Research Article
  • Citations157

Narrow band imaging diagnosis of bladder cancer: systematic review and meta-analysis.

  • Sep 18, 2012
  • BJU international
  • Changjian Zheng +4
  • Research Article
  • Citations62

Next-generation narrow band imaging system for colonic polyp detection: a prospective multicenter randomized trial.

  • Apr 30, 2015
  • International Journal of Colorectal Disease
  • Takahiro Horimatsu +11
  • Abstract

A Prospective Study for Differential Diagnosis of Gastric Small Depressive Lesions By Narrow Band Imaging (NBI) Combined with Magnifying Endoscopy

  • Apr 01, 2009
  • Gastrointestinal Endoscopy
  • Yasumasa Ezoe +6
  • Research Article
  • Citations126

Narrow-band Imaging Digital Flexible Ureteroscopy in Detection of Upper Urinary Tract Transitional-Cell Carcinoma: Initial Experience

  • Jan 01, 2011
  • Journal of Endourology
  • Olivier Traxer +4
  • Research Article
  • Citations19

Texture and color enhancement imaging in magnifying endoscopic evaluation of colorectal adenomas

  • Feb 16, 2022
  • World Journal of Gastrointestinal Endoscopy
  • Osamu Toyoshima +9
  • Research Article
  • Citations5

White-Light Imaging and Image-Enhanced Endoscopy With Magnifying Endoscopy for the Optical Diagnosis of Superficial Nonampullary Duodenal Epithelial Tumors: A Systematic Review and Meta-Analysis.

  • Nov 25, 2024
  • Journal of gastroenterology and hepatology
  • Masao Yoshida +5
  • Research Article
  • Citations10

Comparison of Texture and Color Enhancement Imaging with White Light Imaging in 52 Patients with Short-Segment Barrett’s Esophagus

  • Jun 13, 2023
  • Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
  • Atsushi Ikeda +18
  • Conference Article
  • Citations2

Deep learning for improved polyp detection from synthetic narrow-band imaging

  • Apr 07, 2023
  • Mathias Ramm Haugland +2
  • Supplementary Content

Texture and color enhancement imaging improves visibility of superficial non- ampullary duodenal epithelial tumors

  • Feb 16, 2026
  • Research Square
  • Katsuma Yamauchi +13
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.