Title of article :
Smartphone-generated images to estimate canine packed cell volume with enhancement techniques
Author/Authors :
Mohammed, Baydaa Hashim AL-Esraa University College - Baghdad, Iraq , Abdulmohsin, Ahmed Sameer AL-Esraa University College - Baghdad, Iraq , Hammoud, Awad Kadhim University of Information Technology and Communications - Baghdad, Iraq , Mahmood, Amer Hasan AL-Esraa University College - Baghdad, Iraq , Noor, Al-Sharify AL-Esraa University College - Baghdad, Iraq
Pages :
15
From page :
1189
To page :
1203
Abstract :
Clinical diagnosis that necessitates the use of centralised facilities and site visits might be difficult for patients in resource-constrained or remote settings. As a result, the development of a low-cost test that uses smartphone data collecting and transmission to enable illness self-management and point-of-care (POC) diagnostics would be advantageous. The PCV of canine blood collections can be extrapolated using a smartphone photograph. Filter paper has been utilized to hold the plasma samples, and photos were taken in various conditions using a smartphone. These findings were then contrasted with PCV values performed on the identical samples in accordance with WHO recommendations. Many samples were examined, and it was discovered that smartphone photos taken in a controlled setting could accurately predict the samples' PCV. Whether testing samples of a regular erythroid mass or a polycythemic sample, this projection was the most correct. The findings of this study reveal that using Image Enhancement Techniques, smartphone-obtained photos can be used to estimate canine PCV. If this can be included into a smart device, it might be used in low-resource environments.
Keywords :
Anemia , Diagnostics , Hematocrit estimation , PVC , Smartphone Camera , Canine blood samples
Journal title :
International Journal of Nonlinear Analysis and Applications
Serial Year :
2021
Record number :
2703047
Link To Document :
بازگشت