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Title: :  EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING
PaperId: :  22780
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22780
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Padmaraju ThamatamVasireddy Venkatadri Institute of Technology
Papana Naga Sai KrishnaVasireddy Venkatadri Institute of Technology
Kothurthi Dinesh Naga MurthyVasireddy Venkatadri Institute of Technology
Narasimha Deva Reddy PodapalaVasireddy Venkatadri Institute of Technology

Abstract

Deep Learning
Oral Cancer, Neural Network, Deep learning, Squeezenet
Oral cancer poses a significant global health challenge, with India bearing a disproportionate burden, evidenced by over 48,000 annual deaths attributed to the disease. Addressing this issue requires innovative approaches to improve early detection and classification of oral lesions, ultimately enhancing patient outcomes and reducing mortality rates. This project aims to revolutionize oral healthcare by leveraging deep learning techniques to promptly detect and classify oral lesions. Early detection of oral lesions is critical for timely intervention and improved prognosis, particularly in cases of potential malignancy. To achieve this, we utilize a comprehensive dataset comprising diverse oral images, including normal cases, lesions, and malignant conditions. Our deep learning model, based on Convolutional Neural Networks (CNN), is trained and fine-tuned using both SqueezeNet and ConvNet architectures. Through rigorous data augmentation and intensive training, the CNN model learns to accurately identify and categorize oral lesions, while also estimating the probability of tumor presence within a given dataset, thus aiding in lesion type determination. By automating the identification of potentially malignant oral lesions, our project aims to enable cost-effective and early diagnosis of oral cancer. We envision the development of a user-friendly interface that empowers clinicians to input patient data and oral images, facilitating real-time feedback and streamlining the oral lesion diagnosis process. Our approach holds promise for enhancing oral healthcare delivery, potentially saving lives through timely intervention and improved diagnostic accuracy.

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IJARIIE Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. "EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 594-605
MLA Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. "EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 594-605.
APA Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, & Narasimha Deva Reddy Podapala. (2024). EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 594-605.
Chicago Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. "EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 594-605.
Oxford Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. 'EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 594-605. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/EARLY_DETECTION_AND_CLASSIFICATION_OF_ORAL_LESIONS_USING_DEEP_LEARNING_ijariie22780.pdf (Accessed : ).
Harvard Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. (2024) 'EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 594-605IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/EARLY_DETECTION_AND_CLASSIFICATION_OF_ORAL_LESIONS_USING_DEEP_LEARNING_ijariie22780.pdf (Accessed : )
IEEE Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala, "EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 594-605, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/EARLY_DETECTION_AND_CLASSIFICATION_OF_ORAL_LESIONS_USING_DEEP_LEARNING_ijariie22780.pdf [Accessed : ].
Turabian Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. "EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Padmaraju Thamatam, Papana Naga Sai Krishna, Kothurthi Dinesh Naga Murthy, and Narasimha Deva Reddy Podapala. EARLY DETECTION AND CLASSIFICATION OF ORAL LESIONS USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 594-605. Available from: https://ijariie.com/AdminUploadPdf/EARLY_DETECTION_AND_CLASSIFICATION_OF_ORAL_LESIONS_USING_DEEP_LEARNING_ijariie22780.pdf
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