PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images.

Journal: Contrast media & molecular imaging
Published Date: May 18, 2022

Abstract

OBJECTIVES: Fetal sex determination with ultrasound (US) examination is indicated in pregnancies at risk of X-linked genetic disorders or ambiguous genitalia. However, misdiagnoses often arise due to operator inexperience and technical difficulties while acquiring diagnostic images. We aimed to develop an efficient automated US-based fetal sex classification model that can facilitate efficient screening and reduce misclassification.

Authors

  • Ela Kaplan
    Department of Radiology, Adıyaman Training and Research Hospital, Adiyaman 1164, Turkey.
  • Tekin Ekinci
    Department of Obstetrics and Gynecology, Malatya Turgut Ozal University Training and Research Hospital, Malatya 44330, Turkey.
  • Selcuk Kaplan
    Department of Obstetrics and Gynecology, Adıyaman Gozde Hospital, Adiyaman 1164, Turkey.
  • Prabal Datta Barua
    Cogninet Australia, Sydney, NSW 2010 Australia.
  • Sengul Dogan
    Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey.
  • Turker Tuncer
    Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig, Turkey.
  • Ru-San Tan
    National Heart Centre Singapore, Singapore, Singapore.
  • N Arunkumar
    Sastra University, Thanjavur, India.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.

Keywords

External Resources

Popular Topics
Recent Journals