Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images.

ABSTRACT: Several reviews have been conducted regarding artificial intelligence (AI) techniques to improve pregnancy outcomes. But they are not focusing on ultrasound images. This survey aims to explore how AI can assist with fetal growth monitoring via ultrasound image. We reported our findings using the guidelines for PRISMA. We conducted a comprehensive search of eight bibliographic databases. Out of 1269 studies 107 are included. We found that 2D ultrasound images were more popular (88) than 3D and 4D ultrasound images (19). Classification is the most used method (42), followed by segmentation (31), classification integrated with segmentation (16) and other miscellaneous methods such as object-detection, regression, and reinforcement learning (18). The most common areas that gained traction with

SUBMITTER: Alzubaidi M 

PROVIDER: S-EPMC9287600 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature