An Effective Automated Framework for Oral Cancer Detection by Enhanced Convolutional Neural Networks-Reference-Cited by-同舟云学术

An Effective Automated Framework for Oral Cancer Detection by Enhanced Convolutional Neural Networks

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Advanced Computing (ICoAC)
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Author:

Santhiya M¹,Sindhuja M²,Jegatha R³,Manikandan J⁴

Affiliation:

1. Rajalakshmi Engineering College, Thandalam,Department of Computer Science and Engineering,Chennai

2. Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur,Department of Computational Intelligence,Chennai

3. Sri Sai Ram institute of technology,Department of Information Technology,Chennai

4. St. Joseph’s College of Engineering, OMR,Department of Information Technology,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249210/10249011/10249983.pdf?arnumber=10249983

Reference23 articles.

1. Texture analysis based segmentation and classification of oral cancer lesions in color images using ANN

2. Segmentation and Detection of Pneumothorax using Deep Learning

3. Revolutionizing Secure Commercialization In Agriculture Using Blockchain Technology;leema;2021 International Conference on System Computation Automation and Networking (ICSCAN),2021

4. Utilizing Mask R-CNN for Detection and Segmentation of Oral Diseases

5. Oro Vision: Deep Learning for Classifying Orofacial Diseases

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