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Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis

Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis

Ramesh Chandra Aditya Komperla, Kiran Sree Pokkuluri, Varun Kumar Nomula, G. Uma Gowri, S. Suman Rajest, J. Rahila
Copyright: © 2024 |Pages: 16
ISBN13: 9798369359464|ISBN13 Softcover: 9798369359471|EISBN13: 9798369359488
DOI: 10.4018/979-8-3693-5946-4.ch001
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MLA

Komperla, Ramesh Chandra Aditya, et al. "Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis." Advancements in Clinical Medicine, edited by P. Paramasivan, et al., IGI Global, 2024, pp. 1-16. https://doi.org/10.4018/979-8-3693-5946-4.ch001

APA

Komperla, R. C., Pokkuluri, K. S., Nomula, V. K., Gowri, G. U., Rajest, S. S., & Rahila, J. (2024). Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis. In P. Paramasivan, S. Rajest, K. Chinnusamy, R. Regin, & F. John Joseph (Eds.), Advancements in Clinical Medicine (pp. 1-16). IGI Global. https://doi.org/10.4018/979-8-3693-5946-4.ch001

Chicago

Komperla, Ramesh Chandra Aditya, et al. "Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis." In Advancements in Clinical Medicine, edited by P. Paramasivan, et al., 1-16. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-5946-4.ch001

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Abstract

This chapter explores the innovative integration of artificial intelligence (AI) in enhancing biometric analysis through X-ray and MRI imaging. The recent advancements in AI and machine learning have opened new avenues in medical imaging, providing more accurate, efficient, and detailed analyses. The authors investigate how AI algorithms, particularly deep learning, can significantly improve the interpretation of X-ray and MRI scans for biometric purposes. The study focuses on developing an AI framework capable of identifying unique biometric markers from these imaging modalities. This approach aims to offer a more secure and reliable method for identity verification and medical diagnostics. This methodology involves training AI models with extensive datasets of X-ray and MRI images, incorporating feature extraction and pattern recognition techniques. The results demonstrate a marked improvement in accuracy and speed over traditional biometric systems.

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