Smartphone-generated images to estimate canine packed cell volume with enhancement techniques

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Mohammed Baydaa Hashim; Abdulmohsin Ahmed Sameer; Hammoud Awad Kadhim; Mahmood Amer Hasan; Noor Al Sharify

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS Year:2021 | Volume:12 | Issue:Special Issue Page(s): 1189-1203

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Title

Smartphone-generated images to estimate canine packed cell volume with enhancement techniques

Author(s)

Keywords

Anemia

Diagnostics

Hematocrit estimation

PVC

Smartphone Camera

Canine blood samples

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.

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