Vocal cord lesions classification based on deep convolutional neural network and transfer learning-Reference-Cited by-同舟云学术

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

Published:2021-12-08 Issue:1 Volume:49 Page:432-442
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Zhao Qian¹,He Yuqing¹,Wu Yanda¹,Huang Dongyan²,Wang Yang²,Sun Cai²,Ju Jun²,Wang Jiasen²,Mahr Jeremy Jianshuo‐li³

Affiliation:

1. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education School of Optics and Photonics Beijing Institute of Technology Beijing China

2. National Clinical Research Center for Otolaryngologic Diseases College of Otolaryngology–Head and Neck Surgery Chinese PLA General Hospital Beijing China

3. Division of Life Sciences Rutgers, The State University of New Jersey New Jersey USA

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15371

Reference32 articles.

1. Phonosurgery of vocal fold polyps, cysts and nodules is beneficial;Jensen JB;Dan Med J,2013

2. Correlation Between Clinical Diagnosis and Pathological Diagnosis in Laryngeal Lesions

3. Laryngoscopy of vocal fold paralysis: Evaluation of consistency of clinical findings

4. Use of the video-laryngoscope (GlideScope) in vocal fold injection medialization

5. Efficacy of videostroboscopy and flexible laryngoscope in the diagnosis of early vocal cord cancer;Huang DY;Journal of Audiology and Speech Pathology,2005

Cited by 21 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 lightweight intelligent laryngeal cancer detection system for rural areas;American Journal of Otolaryngology;2024-11

2. A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles;PLOS ONE;2024-07-31

3. New developments in the application of artificial intelligence to laryngology;Current Opinion in Otolaryngology & Head & Neck Surgery;2024-07-25

4. Transforming ENT Healthcare: Advancements and Implications of Artificial Intelligence;Indian Journal of Otolaryngology and Head & Neck Surgery;2024-07-15

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