DEEP CONVOLUTIONAL NEURAL NETWORKS FOR MALARIA CELL CLASSIFICATION
International Research Journal of Modernization in Engineering Technology and Science · 2023
When infected mosquitoes bite humans, parasites that cause intestinal ailments are spread to people.The goal of providing dependable medical care to resource-scarce areas is maintained by the mechanization of the finding system, which will permit accurate disease diagnosis.The analysis of jungle fever has been automated using AI technologies.We discuss some of our most recent developments using massive convolutional brain structures for the highly accurate characterization of cells contaminated with jungle fever.Using image processing techniques, we first demonstrate methods for separating red platelets from whole-slide images.The methods for organizing a pathologists-organized picture dataset for creating profound brain organization are then reviewed, as well as information expansion techniques utilized to essentially increase the size of the dataset while accounting for the pathologists' expertise.