Assessment of Biomedical Fluid Quality Using Digital Image Processing: A Novel Approach for Medical Diagnostics
DOI:
https://doi.org/10.48047/4h4g3y69Keywords:
multiplier, architecture, high-speed, efficiency, applications, VLSI designAbstract
The present study explores the application of digital image processing techniques in evaluating the quality of biomedical fluids, such as blood, urine, and cerebrospinal fluid, to enhance diagnostic accuracy in medical analysis. This research involves fluid sampling,
imaging under varying conditions, and comparative analysis against standardized medical specimens. A set of reference solutions with controlled turbidity levels was prepared and validated using a nephelometer to ensure measurement precision. High-resolution images of biomedical fluids were captured under different lighting and background conditions to simulate diverse clinical environments. The study leverages MATLAB-based digital image processing techniques for fluid quality assessment, employing advanced image enhancement, segmentation, and feature extraction methods to detect anomalies in fluid composition. By
integrating digital imaging with medical diagnostics, this research aims to optimize non invasive and rapid fluid analysis, facilitating improved disease detection and patient care in clinical settings.
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References
Hussain, Inamul, Chandan Kumar Pandey, and Saurabh Chaudhury. "Design and analysis of high performance multiplier circuit." 2019 Devices for Integrated Circuit (DevIC). IEEE, 2019.
Ganjikunta, Ganesh Kumar, Sibghatullah I. Khan, and M. Mahaboob Basha. "A High Performance Signed-Unsigned Multiplier Using Vedic Mathematics." Journal of Low Power Cuest.fisioter.2024.53(3):416-428
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