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
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