An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine-Reference-Cited by-同舟云学术

An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine

Published:2023-05-17 Issue: Volume: Page:
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Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
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Author:

Manikandan J¹,Devakadacham Sterlin Rani²,Shanthalakshmi M.³,Arockia Raj Y⁴,Vijay K¹

Affiliation:

1. Rajalakshmi Engineering College, Thandalam,Computer Science and Engineering,Chennai,India

2. R. M. D. Engineering College,Computer Science and Engineering,Kavaraipettai,India

3. Sri Venkateswara College of Engineering,Computer Science and Engineering,Chennai,India

4. PSNA College of Engineering and Technology,Computer Science and Engineering,Dindugal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142228/10142218/10142687.pdf?arnumber=10142687

Reference17 articles.

1. An Evaluation study of Oral Cancer Detection using Data Mining Classification Techniques;prasanna;International Journal of Advanced Research in Computer Science,2012

2. Comparison of feature extraction techniques to classify oral cancers using image processing;anuradha;International Journal of Application or Innovation in Engineering & Management (IJAIEM),2013

3. Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review

4. Using MLP and SVM for predicting survival rate of oral cancer patients

5. A hybrid selection method based on HCELFS and SVM for the diagnosis of oral cancer staging;fatihah;In Advanced Computer and Communication Engineering Technology Proceedings of the 1st International Conference on Communication and Computer Engineering,2015

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