Laryngeal Leukoplakia Classification Via Dense Multiscale Feature Extraction in White Light Endoscopy Images-Reference-Cited by-同舟云学术

Laryngeal Leukoplakia Classification Via Dense Multiscale Feature Extraction in White Light Endoscopy Images

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

You Zhenzhen¹,Yan Yan²,Shi Zhenghao¹,Zhao Minghua¹,Yan Jing²,Liu Haiqin²,Hei Xinhong¹,Ren Xiaoyong²

Affiliation:

1. Xi’an University of Technology,Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering,Xi’an,China

2. Xi'an Jiaotong University,Second Affiliated Hospital of Medical College,Department of Otorhinolaryngology,Xi'an,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096995.pdf?arnumber=10096995

Reference15 articles.

1. Vocal cord lesions classification based on deep convolutional neural network and transfer learning

2. Automated Segmentation of the Vocal Folds in Laryngeal Endoscopy Videos Using Deep Convolutional Regression Networks

3. Diagnosis of vocal cord leukoplakia: The role of a novel narrow band imaging endoscopic classification

4. The Application of NBI Larynscopy in the Diagnosis of Vocal Cord Leukoplakia;yan;Journal of Audiology and Speech Pathology,2018

5. A multi-scale recurrent fully convolution neural network for laryngeal leukoplakia segmentation

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