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Malaria Detection Using Neural Networks
Project Type
Neural Networks, Unstructured Data, Healthcare
Date
April 2023
Image recognition project using Neural Networks I worked on for a Capstone project as part of a MIT/Great Learning course.
Context: Malaria is a contagious disease caused by parasites transmitted to humans through infected mosquitoes. The parasites enter the blood and damage red blood cells (RBCs). The parasites can stay latent and asymptomatic for up to a year-so methods for detecting malaria early are lifesaving.
Objectives: Develop a computer vision model for detecting malaria classify red blood cell imaging between uninfected and infected (parasitized).
Problem Formulation: My hypothesis is that a convolutional neural network (CNN) will be the best tool for classification from unstructured data (images of RBCs). However, how “deep” and how “wide” the neural network needs to be to yield the best results needs to be experimented with.





