Analyzing of Oocyte Containing sERC by using DeepLab

Abstract

In infertility treatment, vacuolated structures called sERCs are sometimes found on oocytes obtained by egg retrieval. It is thought that oocytes with sERCs have a low fertilisation rate, but their specific characteristics are not yet known. In this study, DeepLab, a segmentation method using deep learning, is used to automatically extract sERC regions from videos during ICSI. The relationship between the size, shape and orientation of the extracted sERC regions and pregnancy is analysed from an information science approach.