Publications by authors named "Kariev S"

The ability to distinguish between the abdominal conditions of adult female mosquitoes has important utility for the surveillance and control of mosquito-borne diseases. However, doing so requires entomological training and time-consuming manual effort. Here, we design computer vision techniques to determine stages in the gonotrophic cycle of female mosquitoes from images.

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We design a framework based on Mask Region-based Convolutional Neural Network to automatically detect and separately extract anatomical components of mosquitoes-thorax, wings, abdomen and legs from images. Our training dataset consisted of 1500 smartphone images of nine mosquito species trapped in Florida. In the proposed technique, the first step is to detect anatomical components within a mosquito image.

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Unlabelled: Drugs for preventing stone formation can be selected based on the average regional indicators, which have features depending on the region of the world.

Aim: To investigate the features of urinary factors for lithogenesis (UFL) of calcium urolithiasis in Tashkent and evaluate the variants of their pharmacological correction.

Materials And Methods: The study analyzed data from 779 patients with calcium urolithiasis.

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