A Cloud-based Solution for Rapid and Smart Neuropathy Detection

Abstract

Cloud hosting of software allows easy and quick access to a wider community. In this paper, we propose a cloud-based solution for a smart neuropathy detection system that will benefit the community in three ways. Medical research in the field of neuropathy will advance rapidly due to ubiquitous access to the software that will provide quick image analysis results. Doctors will be able to receive instantaneous results of their patients' corneal scans without going through the manual tracing. Lastly, the software has the potential to become a standard for neuropathy research findings and will allow for research collaboration on neuropathy. The prediction system requires corneal nerve images captured from a corneal confocal microscope and is composed of three parts. The images first undergo nerve segmentation, followed by feature extraction and neuropathy prediction.