◆Overview
In recent years, high-risk births such as elderly births are increasing, while the number of obstetric doctors and doctor facilities is on a downward trend. With the decrease in the number of physicians, it is becoming a serious social phenomenon such as severe labor situation such as long working hours of doctors, and waiting time accompanying pregnancy screening. To overcome such a situation, we are preparing a pregnancy screening robot with Iwata laboratory at Waseda University. Ohya laboratory is in charge of image processing of the whole system.
Specifically, (1) a proposal of a fetal head detection method in ultrasonic images including high noise. ② We conducted a study to restore the ultrasound 2D continuous cross section to 3D data and to estimate the fetal prenatal. In the future, we plan to study ultrasonic cross section necessary for automatic estimation of fetus weight using machine learning, grasp the whole image of the fetus, and conduct automatic operation of ultrasonic probe.

◆Collaborators
〇Ultrasonic medical examination for remote pregnancy screening RT（Iwata Lab, Waseda University）

◆Published literature
〇International Conference
[1] Genta Ishikawa, Rong Xu, Jun Ohya, and Hiroyasu Iwata. An Accurate and Robust Fetal Head Detection Algorithm That Integrating a Voting Scheme and an Improved IRHT Method. IEVC2017 (The 5th IIEEJ International Workshop on Image Electronics and Visual Computing)