Call for Papers:Vol.12 Issue.3

Submission
Last date		 28-Jun-2026
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-12,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, http://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf (Accessed : 13 June 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: http://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf (Accessed : 13 June 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: http://ijariie.com/AdminUploadPdf/IDENTIFYING_AND_CLASSIFYING_ORAL_CANCER_BASED_ON_DEEP__TRANSFER_LEARNING_ijariie21681.pdf [Accessed : 13 June 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 (13 June 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 : 13 June 2025]; 9(5) : 813-821. Available from: http://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 6/13/2025 9:02:11 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
POLICY GUARDIAN: A HYBRID TWO-TIER AI FRAMEWORK FOR AUTOMATED LEGAL DOCUMENT DISCOVERY, RISK CLASSIFICATION, AND SEMANTIC SIMPLIFICATIONComputer Science & EngineeringAshik James Download
Review Paper on Transformer-based Generative Adversarial Network (GAN) hybrid modelComputer EngineeringPalak Yadav Download
A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTINGComputer EngineeringPAMU NAGARJUNA Download
Generating Text Conditioned 3D Human MotionComputer Science and EngineeringShilna Koyileriyan Download
Automated Seat Belt Detection Using Surveillance Cameras for Indian TrafficComputer EngineeringRENUKA T R Download
LITERATURE REVIEW OF PREDICTING DISEASE GENE ASSOCIATION Computer EngineeringNihala K P Download
WORD-LEVEL BLUR FOR REAL-TIME SCREEN ABUSE DETECTION: IMPLEMENTATION AND EVALUATIONcomputer Engineeringsohel sayyad Download
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
Improvising Personalized Travel Recommendation System with Recency Effectscomputer science engineeringMrs. Fathima Zahera Download
Ensemble Models and Explainable AI for Malware DetectionComputer Science M Vandana Download
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
12