Deep Learning Technology to Identify Arboviral Disease-Dengue Prediction

Abstract

Arboviral disease-dengue infections are viral diseases that are transmitted via the bite of infected insects such as mosquitoes. Some of the well-known vector-borne diseases are chikungunya, zika, yellow fever, etc. According to the national centre for vector-borne disease control, the growing number of dengue infections in India has reached 1,23,106 cases in September 2021. This unprecedented increase in the infection has resulted in developing new and automated technologies to detect and recognize the platelets. Aside from the symptoms, this condition can be identified via a blood smear. The proposed technology is based on the images retrieved from blood smears. The image processing and segmentation has been performed by incorporating a deep learning algorithm to detect and determine whether the image is dengue infected or not infected by counting the platelets in the blood cells.