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First results of computer-enhanced optical diagnosis of bladder cancer

Titelangaben

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. Bd. 6 (2020) Heft 3 . - S. 246-249.
ISSN 2364-5504
DOI: https://doi.org/10.1515/cdbme-2020-3062

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

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.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Urology; 3D-Endoscopy; Panorama imaging; Raman spectroscopy; FLIM
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 530 Physik
Eingestellt am: 12 Mai 2023 06:53
Letzte Änderung: 12 Mai 2023 06:53
URI: https://eref.uni-bayreuth.de/id/eprint/76390