Mobile Microscopic Device to Detect Parasitical Cell-Related Diseases Using Machine Learning

Abstract

The objective of this mobile hand-held microscopic device is to provide aid to people residing in developing coun- tries with early detection of various blood and gastrointestinal diseases. This device is created using a cell scope attached to the camera lens of the phone. The detection of disease is done using image processing algorithms which are stored on a cloud based server to generate reports and efficiently send results to the end user. The main goal behind the device is to create a revolution in the world of technology and healthcare by facilitating easier approaches of disease detection and prevention in rural areas. Index Terms—mobile microscope, healthcare, malaria, image pre-processing, neural networks, feature extraction, classification