A comparative study on fetal head circumference measurement from ultrasound images using deep learning models

Yu Wang, Yudong Yao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Ultrasound imaging is the most commonly used imaging modality for the prenatal examination of pregnant women, with real-Time imaging and no radiation characteristics. Through a ultrasound image of the fetal head, doctors can measure the fetal head circumference (HC) to evaluate fetal growth and potential delivery mode. In practice, fetal HC is usually measured manually by doctors based on ultrasound images. Manual measurement of fetal HC is subjective and time-consuming, which has a negative impact on measurement accuracy and efficiency. At present, deep learning is widely investigated in the medical field. Many researchers apply deep learning to measuring fetal HC to assist doctors to accurately and quickly completing the measurement of fetal HC. In this paper, we compare the performance of eight deep learning models (U-Net, Attention U-Net, GINet, global reasoning unit (GloRe), SegFormer, Segmenter, BiSeNet V2, and short-Term dense concatenate network (STDC)) on two fetal HC measurement datasets. SegFormer achieves the best results in Dice similarity coefficient (DSC), Hausdorff distance (HD), and absolute Difference (ADF). The performance of Attention U-Net is slightly worse than that of SegFormer.

Original languageEnglish
Title of host publicationProceedings of 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
Pages1341-1348
Number of pages8
ISBN (Electronic)9781450398343
DOIs
StatePublished - 16 Dec 2022
Event4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022 - Virtual, Online, China
Duration: 16 Dec 202218 Dec 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
Country/TerritoryChina
CityVirtual, Online
Period16/12/2218/12/22

Keywords

  • Deep Learning
  • fetal head circumference
  • head circumference measurement

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