Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING
PaperId: :  21681
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21681
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pandiyan MBannari Amman Institute of Technology
Nivetha SBannari Amman Institute of Technology
Hariraaghava R KBannari Amman Institute of Technology
Selvaraj MBannari Amman Institute of Technology

Abstract

Computer Science and Engineering
Oral cancer detection, Transfer learning, Image classification, CNN, Artificial Intelligence.
The "head and neck cancers" that occur most often worldwide are oral cancers. Oral cancer is a common, intricate, and very dangerous type of cancer. In India, oral malignant growth positions seventh among all tumors, with 130,000 fatalities annually. The tumor has an impact on the tonsils, salivary glands, face, mouth, and neck. The majority of oral cancer cases are only identified in advanced stages due to an absence of public mindfulness. In this specific circumstance, computerized reasoning (artificial intelligence) and AI (ML) models are utilized since it is critical to distinguish sicknesses from the beginning for improved results. The ongoing work presents the Oral Disease recognition and Characterization Model (AIDTL-OCCM), which is controlled by man-made reasoning and profound exchange learning. The proposed AIDTL-OCCM model's main objective is to identify oral cancer utilizing AI and image processing methods. The AIDTL-OCCM model under consideration uses a fuzzy-based contrast enhancing method. Then, a suitable set of deep features is produced using the densely-connected networks (DenseNet-169) model. Additionally, the Autoencoder (AE) model of the Chimp Optimization Algorithm (COA) is employed to identify and classify oral cancer. To be able to choose the best AE model parameters, COA is also used. Benchmark datasets were used as the basis for a wide range of experimental investigations, and the outcomes were examined from a number of angles. With a maximum accuracy of 90.08%, the results of the thorough experimental investigation demonstrated the AIDTL-OCCM model's superior performance over other methods.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. "IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 813-821
MLA Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. "IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 813-821.
APA Pandiyan M, Nivetha S, Hariraaghava R K, & Selvaraj M. (2023). IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 813-821.
Chicago Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. "IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 813-821.
Oxford Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. 'IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 813-821. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf (Accessed : 22 May 2025).
Harvard Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. (2023) 'IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 813-821IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf (Accessed : 22 May 2025)
IEEE Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M, "IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 813-821, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf [Accessed : 22 May 2025].
Turabian Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. "IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (22 May 2025).
Vancouver Pandiyan M, Nivetha S, Hariraaghava R K, and Selvaraj M. IDENTIFYING AND CLASSIFYING ORAL CANCER BASED ON DEEP TRANSFER LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 22 May 2025]; 9(5) : 813-821. Available from: https://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/22/2025 5:24:24 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
Deligro: A Dual-Purpose Web Platform for Food Ordering and Leftover Food Donation ManagementComputer Science EngineeringRakesh Reddy K Download
12