| [188935] |
| Title: Deep-learning-based image acquisition support tool for endoscopic narrow Band Imaging of the Larynx. |
| Written by: D. Eggert and D. Bhattacharya and A. Felicio-Briegel and V. Volgger and A. Schlaefer and C. Betz |
| in: (2023). |
| Volume: <strong>102</strong>. Number: (S 02), |
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| Publisher: Georg Thieme Verlag: |
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| DOI: 10.1055/s-0043-1767104 |
| URL: http://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0043-1767104 |
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Abstract: Narrow band imaging (NBI) enables a contrast-enhanced imaging of mucosal blow-vessels. Nowadays NBI is a standard feature in many endoscopes. NBI is increasingly being applies in clinical investigations of the head-neck region. Using flexible laryngoscopes different laryngeal lesions can be investigated in awake patients. NBI enables a better recognition and differentiation of different pathologies than white light endoscopy.