A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer-Reference-Cited by-同舟云学术

A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer

Published:2023-10-25 Issue: Volume:37 Page:1193-1197
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Wang Haiyang¹,Ronchetti Francesca¹,Mainardi Luca¹

Affiliation:

1. Polytechnic University of Milan,Department of Electrical Information and Bioengineering (DEIB),Milan,Italy

Funder

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405753.pdf?arnumber=10405753

Reference24 articles.

1. Effectiveness of narrow band imaging in the detection of premalignant and malignant lesions of the larynx: validation of a new endoscopic clinical classification;Nocini;Larynx cancer epidemiology,2020

2. New approach to diagnosing ampullary tumors by magnifying endoscopy combined with a narrow-band imaging system

3. Value of narrow band imaging in the early diagnosis of laryngeal cancer

4. Appearance of enhanced tissue features in narrowband endoscopic imaging;Kazuhiro;Journal of Biomedical Optics,2004

5. An overview of the current clinical status of optical imaging in head and neck cancer with a focus on Narrow Band imaging and fluorescence optical imaging

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