This work provides a method of producing dense depth estimations of a cystoscopic image through the embedding of a synthetic environment and using adversarial neural network training.
- 125 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Learning-Based Dense Monocular Depth Estimation for Cystoscopic Videos
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Table of contents
- Titelseite
- Acknowledgements
- Kurzfassung
- Abstract
- Contents
- Introduction
- The Cystoscopic Environment and Bladder Cancer
- Supervised Synthetic Depth Estimation
- Adversarial Domain Adaptation for Cystoscopic Videos
- Summary
- Ground Truth Depth Map Generation
- Abbreviations
- Symbols
- List of Figures
- List of Tables
- Bibliography
- Leere Seite
- Leere Seite
- Leere Seite