Title data
Wittenberg, Thomas ; Becker, Wolfgang ; Bocklitz, Thomas ; Braun, Lukas ; Hackner, Ralf ; Lemke, Niels ; Miernik, Arkadiusz ; Pohlmann, Philippe-Fabian ; Suarez-Ibarrola, Rodrigo ; Krafft, Christoph:
First results of computer-enhanced optical diagnosis of bladder cancer.
In: Current Directions in Biomedical Engineering.
Vol. 6
(2020)
Issue 3
.
- pp. 246-249.
ISSN 2364-5504
DOI: https://doi.org/10.1515/cdbme-2020-3062
Abstract in another language
Bladder cancer is the sixth leading cancer cause worldwide. Non-muscle invasive tumors can be diagnosed and treated endoscopically. Based on biopsies alone, pathologists cannot determine the spatial organization of specimens, their relationship with each other, or their complete removal. To extend white light cystoscopy as the gold standard for bladder cancer detection, diagnosis and removal of small or flat lesions, new image-based technologies have been investigated. These include a stereo-cystoscope for improved orientation and navigation, computation of 2D and 3D panoramic images for extended visualization and documentation, as well as label-free fiber-based fluorescence-lifetime imaging (FLIM) and Raman-spectroscopy in combination with statistical data analysis. Combining all these technologies, cystoscopy can will be further enhanced to include new diagnostic possibilities.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Keywords: | Urology; 3D-Endoscopy; Panorama imaging; Raman spectroscopy; FLIM |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
Result of work at the UBT: | No |
DDC Subjects: | 500 Science > 530 Physics |
Date Deposited: | 12 May 2023 06:53 |
Last Modified: | 12 May 2023 06:53 |
URI: | https://eref.uni-bayreuth.de/id/eprint/76390 |