Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks-Reference-Cited by-同舟云学术

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Automated detection of premalignant oral lesions on whole slide images using convolutional neural networks

Published:2022-11 Issue: Volume:134 Page:106109
ISSN:1368-8375
Container-title:Oral Oncology
language:en
Short-container-title:Oral Oncology

Author:

Liu Yingci,Bilodeau Elizabeth,Pollack Brian,Batmanghelich Kayhan

Funder

National Institutes of Health

NSF

Pennsylvania Department of Health

National Science Foundation

Publisher

Elsevier BV

Subject

Cancer Research,Oncology,Oral Surgery

Reference52 articles.

1. Does anatomic subsite influence oral cavity cancer mortality? A SEER database analysis;Farhood;Laryngoscope,2019

2. Oral tongue squamous cell carcinoma survival as stratified by age and sex: A surveillance, epidemiology, and end results analysis;Mukdad;Laryngoscope,2019

3. Huang SH, O'Sullivan B. Overview of the 8th Edition TNM Classification for Head and Neck Cancer. Curr Treat Options Oncol, 2017;18(7):40.

4. Should severe epithelial dysplasia be treated?;Zhang;Oral Oncol,2016

5. Development of squamous cell carcinoma from pre-existent oral leukoplakia: with respect to treatment modality;Saito;Int J Oral Maxillofac Surg,2001

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