Document Type : Research Paper
1 AL-Esraa University College, Baghdad, Iraq
2 Faculty of Information Science and Technology, Univerciti Kebangsaan Malaysia,43600 Bangi, Selangor, Malaysia
3 University of Information Technology and Communications, Baghdad, Iraq
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.