The Classification and Segmentation of Fetal Anatomies Ultrasound Image: A Survey

Abstract

Ultrasound imaging processing technology has been used in obstetric observation of the fetus and diagnosis of fetal diseases for more than half a century. It contains certain advantages and unique challenges which has been developed rapidly. From the perspective of ultrasound image analysis, at the very beginning, it is essential to determine fetal survival, gestational age and so on. Currently, the fetal anatomies ultrasound image analysis approaches have been studies and it has become an indispensable diagnostic tool for diagnosing fetal abnormalities, in order to gain more insight into the ongoing development of the fetus. Presently, it is the time to review previous approaches systematically in this field and to predict the directions of the future. Thus, this article reviews state-of-art approaches with the basic ideas, theories, pros and cons of ultrasound image technique for whole fetus with other anatomies. First of all, it summarizes the current pending problems and introduces the popular image processing methods, such as classification, segmentation etc. After that, the advantages and disadvantages in existing approaches as well as new research ideas are briefly discussed. Finally, the challenges and future trend are discussed.

Ensemble learning for fetal ultrasound and maternal–fetal data to predict mode of delivery after labor induction

“…However, very few use ML with the same goal 2 , 29 . Also, several research studies explored third trimester US biometry planes for image segmentation 30 , 31 , image or plane classification 8 , 15 , 16 and fetal biometry estimation 32 , 33 . US image classification has been mainly used for automatic fetal malformation detection 18 , 34 .…”

A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

“…Survey papers in the field have been published in the last years, even if a number of them focuses on the broader area of medical-image analysis [6] or surveys also DL algorithms for US image analysis outside the fetal field [7], [8], [9], [10], [1]. Survey papers specifically dealing with US fetal images include: [11], [12], [13], where segmentation and classification algorithms are covered; [14], [15] that survey methods for fetal cardiology images; [16], [17] that briefly summarize DL methods for fetal abnormality detection, and [18] that analyzes research papers from a clinical perspective.…”