Development of Computer-aided Detection Software Using Supercomputer System

Abstract

In this paper, we introduced the development of computer-aided detection (CAD) software using deep learning (DL) on a supercomputer. We described our DL training environment based on asynchronous parallel execution Bayesian optimization was constructed on a supercomputer. As an actual example of the DL learning environment, we indicate an example of a hyperparameter search for lung nodule detection in chest CT images using 3D U-Net. The constructed environment enabled us to train deep learning with hyperparameter tuning in a short time.