Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors-Reference-Cited by-同舟云学术

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors

Published:2024 Issue: Volume: Page:143-148
ISSN:1431-472X
Container-title:Informatik aktuell
language:de
Short-container-title:

Author:

Aubreville Marc,Pan Zhaoya,Sievert Matti,Ammeling Jonas,Ganz Jonathan,Oetter Nicolai,Stelzle Florian,Frenken Ann-Kathrin,Breininger Katharina,Goncalves Miguel

Publisher

Springer Fachmedien Wiesbaden

Link

https://link.springer.com/content/pdf/10.1007/978-3-658-44037-4_42

Reference10 articles.

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2. Layfield EM et al. Frozen section evaluation of margin status in primary squamous cell carcinomas of the head and neck: a correlation study of frozen section and final diagnoses. Head Neck Pathol. 2018;12(2):175–80.

3. Sievert M et al. Konfokale Laser-Endomikroskopie des Kopf-Hals-Plattenepithelkarzinoms: eine systematische Übersicht. Laryngo Rhino Otologie. 2021;100(11):875–81.

4. Liu J et al. Learning curve and interobserver agreement of confocal laser endomicroscopy for detecting precancerous or early-stage esophageal squamous cancer. PloS One. 2014;9(6):e99089.

5. Aubreville M et al. Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract. BIOSTEC. Springer. 2019:67–85.

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