Early Detection of Oral Ulcers Using Photographic Evidence: A Novel Approach using Ensemble of Convolution Neural Network-Reference-Cited by-同舟云学术

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Early Detection of Oral Ulcers Using Photographic Evidence: A Novel Approach using Ensemble of Convolution Neural Network

Published:2022-01-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Jain Manju¹,Tanu ²,Rai C.S.¹

Affiliation:

1. University School of Information Communication & Technology Guru Gobind Singh Indraprastha University,Dwarka,New Delhi,India

2. Dhruv Diagnostic Lab,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751777/9752467/09752570.pdf?arnumber=9752570

Reference11 articles.

1. Diagnostic Features of Common Oral Ulcerative Lesions: An Updated Decision Tree

2. Misdiagnosis of lip squamous cell carcinoma;de s santos;RSBO,2012

3. Support vector machines for oral lesion classification

4. Feature Extraction and Classification UsingDeep Convolutional Neural Networks

Cited by 3 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 high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation;Scientific Reports;2024-08-29

2. Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis;Clinical Oral Investigations;2024-01-13

3. Integrating Ensemble Learning into Remote Health Monitoring for Accurate Prediction of Oral and Maxillofacial Diseases;2023 25th International Multitopic Conference (INMIC);2023-11-17

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