Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning-Reference-Cited by-同舟云学术

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Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Villani Francesca Pia¹,Paderno Alberto²,Fiorentino Maria Chiara³,Casella Alessandro⁴,Piazza Cesare²,Moccia Sara⁵

Affiliation:

1. Università Degli Studi di Macerata,Department of Humanities,Italy

2. University of Brescia,ASST Spedali Civili of Brescia,Department of Otorhinolaryngology – Head and Neck Surgery,Italy

3. Università Politecnica Delle Marche,Department of Information Engineering,Italy

4. Istituto Italiano di Tecnologia,Department of Advanced Robotics,Genoa,Italy

5. Scuola Superiore Sant’Anna,The BioRobotics Institute, Scuola Superiore Sant’Anna and the Department of Excellence in Robotics and AI,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340017.pdf?arnumber=10340017

Reference21 articles.

1. A survey on deep learning in medical image analysis

2. Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET

3. A review on deep-learning algorithms for fetal ultrasound-image analysis

4. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

5. Surgical data science – from concepts toward clinical translation

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1. How reliable is assessment of true vocal cord-arytenoid unit mobility in patients affected by laryngeal cancer? a multi-institutional study on 366 patients from the ARYFIX collaborative group;Oral Oncology;2024-05

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