Dr. Pecker: A Deep Learning-Based Computer-Aided Diagnosis System in Medical Imaging

Abstract

This chapter intends to demonstrate the clinical applications of Computer-Aided Diagnosis (CAD) systems based on deep learning algorithms while focusing on their IT infrastructure design. In comparison with traditional CAD systems that are mostly standalone applications designed to solve a particular task, we explain design choices of a cloud-based CAD platform that allows for running computational intense deep learning algorithms in a cost-efficient way. It also provides off-the-shelf solutions to collect, store, and secure data anywhere and anytime from various data sources, which is essential for training deep learning algorithms. In the end, we show the superior performance of using such CAD platform for analyzing medical imaging data of various modality before the conclusion.