Paper Title
Facial Bone Fracture Detection Using Object Recognition: A Computer-Aided System
Article Identifiers
Authors
Dr.N.Moganarangan , A S Mahesharun , S.Madhanraj , C.Abdul Satter Nafees , Sundar S Srikanth
Keywords
Abstract
Facial bone fractures necessitate prompt diagnosis and treatment to prevent complications and long-term sequelae. Traditional diagnosis involves the analysis of computed tomography (CT) images, a process often impeded by time constraints and a shortage of specialized personnel. To address these challenges, the existing system typically relies on the YOLO (You Only Look Once) algorithm for fracture prediction. However, concerns about prediction accuracy persist. In this proposed work, we introduce an innovative approach by leveraging efficient transfer learning algorithms for facial bone fracture prediction. Transfer learning exploits knowledge gained from pre-trained models on related tasks and adapts it to the specific problem at hand. This strategy aims to enhance prediction accuracy and efficiency, addressing the limitations associated with the YOLO algorithm. Upon scanning the QR code using a designated application, the system promptly decodes the information embedded within, enabling healthcare professionals to swiftly ascertain the presence and details of facial bone fractures.
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How To Cite (APA)
Dr.N.Moganarangan, A S Mahesharun , S.Madhanraj, C.Abdul Satter Nafees, & Sundar S Srikanth (April-2024). Facial Bone Fracture Detection Using Object Recognition: A Computer-Aided System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), a771-a776. https://ijnrd.org/papers/IJNRD2404092.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : a771-a776
Other Publication Details
Paper Reg. ID: IJNRD_211278
Published Paper Id: IJNRD2404092
Downloads: 000121987
Research Area: Engineering
Country: Pondicherry, Pondicherry, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404092.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404092
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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