Automatic evaluation of endometrial receptivity in three-dimensional transvaginal ultrasound images based on 3D U-Net segmentation.

ABSTRACT:

Background

Endometrial thickness is an essential factor affecting female fertility. Clinically, ultrasound imaging is the first choice for the examination of uterine and endometrial-related diseases. However, the boundary of some endometrial is challenging to distinguish due to the effects of image resolution and noise. In addition, the irregular shape of the endometrium makes it more difficult for doctors to measure its thickness. Through the automatic segmentation and extraction of the endometrium, the maximum thickness of the endometrium can be measured automatically and accurately. This provides a quantitative index for doctors to use diagnostically.

Methods

In this study, 85 cases of three-dimensional transvaginal ultrasound (3D TVUS) images were collected retrospective

SUBMITTER: Wang X 

PROVIDER: S-EPMC9338380 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature