Abstract
The rising global incidence of chronic kidney disease necessitates the development of image categorization of renal glomeruli. COVID-19 has been shown to enter the glomerulus, a tissue structure in the kidney. This study observes the differences between focal-segmental, normal and sclerotic renal glomerular tissue diseases. The splitting and combining of allied and multivariate models was accomplished utilizing a combined technique using existing models. In this study, model combinations are created by using a high-accuracy accuracy-based model to improve other models. This research exhibits excellent accuracy and consistent classification results on the ResNet101V2 combination using a mix of transfer learning methods, with the combined model on ResNet101V2 showing an accuracy of up to 97 percent with an F1-score of 0.97, compared to other models. However, this study discovered that the anticipated time required was higher than the model employed in general, which was mitigated by the usage of high-performance computing in this study.
Highlights
Acute kidney injury is a common and significant complication
Since COVID19 is implicated in kidney function, this study aims in identifing how the anatomy of kidney disease is affected by COVID-19
We found the EfficientNet model to be weak in comparison to various other machine learning models after analyzing the suggested technique
Summary
Acute kidney injury is a common and significant complication. And it has been proven that one of the factors that cause the disease to occur frequently is the increase in the widespread distribution of red blood cells and excessive inflammation. [1,2]. It has been proven that one of the factors that cause the disease to occur frequently is the increase in the widespread distribution of red blood cells and excessive inflammation. The pathophysiological mechanisms that explain the association between increased RDW scores and poorer prognosis remain unclear. An increase in RDW is the cause of microcirculation disorders. Older erythrocytes gradually lose the ability to damage cell membranes. This feature is especially important during the squeezing of nucleated cells through small diameter vessels in organs, such as the kidneys. The stiff and large erythrocytes observed in patients with high values of RDW could not enter through the capillaries and impaired blood flow through the microcirculation, leading to ischemia of the renal tissue [1]
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