Noninvasive Detection of Potentially Precancerous Lesions of Vocal Fold Based on Glottal Wave Signal and SVM Approaches-Reference-Cited by-同舟云学术

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Noninvasive Detection of Potentially Precancerous Lesions of Vocal Fold Based on Glottal Wave Signal and SVM Approaches

Published:2018 Issue: Volume:126 Page:586-595
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Aicha Anis Ben

Publisher

Elsevier BV

Subject

General Engineering

Reference33 articles.

1. Cancers du larynx;Lefebvre;EMC-Oto-rhino-laryngologie,2005

2. Vocal fold cancer;Schultz;European annals of otorhinolaryngology head and neck diseases,2011

3. Estimation nationale de l'incidence et de la mortalit par cancer en France entre 1980 et 2005;Belot,2008

4. An update on larynx cancer;Steuer;CA: a cancer journal for clinicians,2017

5. Correlation of voice and quality of life with adjuvant radiotherapy in patients with larynx cancer;Kara;Family Practice and Palliative Care,2017

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method;Scientific Reports;2024-06-23

2. Improved Deep Learning Laryngeal Tumour Identification;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23

3. Conventional Machine Learning and Feature Engineering for Vocal Fold Precancerous Lesions Detection Using Acoustic Features;Circuits, Systems, and Signal Processing;2023-11-21

4. Performance comparison on vocal cords disordered voice discrimination via machine learning methods*;Phonetics and Speech Sciences;2022-12

5. An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images;Sensors;2022-11-15

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