Automatic orbital segmentation using deep learning-based 2D U-net and accuracy evaluation: A retrospective study.

The purpose of this study was to verify whether the accuracy of automatic segmentation (AS) of computed tomography (CT) images of fractured orbits using deep learning (DL) is sufficient for clinical application. In the surgery of orbital fractures, many methods have been reported to create a 3D anatomical model for use as a reference. However, because the orbit bone is thin and complex, creating a segmentation model for 3D printing is complicated and time-consuming.

Correction to: Ethical Perspectives of Japanese Engineers on Ambient Assisted Living Technologies: Semi-structured Interview.

[This corrects the article DOI: 10.1007/s41649-018-0053-0.].

Ethical Perspectives of Japanese Engineers on Ambient Assisted Living Technologies: Semi-structured Interview.

Ambient assisted living (AAL) technologies are expected to solve a significant number of problems related to elderly care. However, in Japan, limited discourse on the ethical issues concerning their application is hindering the spread of AAL technologies. Against this background, this study explores the ethical perspectives of AAL technology engineers in Japanese companies and the circumstances influencing their perspectives.