Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks.

Journal: European radiology
PMID: 37392231

Abstract

OBJECTIVES: To develop and validate a fully automated AI system to extract standard planes, assess early gestational weeks, and compare the performance of the developed system to sonographers.

Authors

  • Yuanyuan Pei
    Clinical Data Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
  • Longjiang E
    Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Changping Dai
    Department of Ultrasonography, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
  • Jin Han
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Haiyu Wang
    Department of Ultrasonography, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China. haiyuwang0708@gmail.com.
  • Huiying Liang
    Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals