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Fetal Brain Abnormality Classification from 2D Ultrasound Images

Author

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  • Sridharan K

    (Professor, Department of Information Technology, Panimalar Engineering College, India)

Abstract

Fetal brain abnormalities are a significant concern in prenatal diagnosis, and their early detection and classification are crucial for proper management and intervention. Ultrasound imaging is the most widely used modality for prenatal diagnosis, but the accurate identification and classification of fetal brain abnormalities from 2D ultrasound images require specialized training and expertise. Deep learning-based classification can potentially address this challenge and improve the efficiency and accuracy of prenatal diagnosis. In this case report, we present a case of fetal brain abnormality classification using machine learning techniques applied to 2D ultrasound images.

Suggested Citation

  • Sridharan K, 2023. "Fetal Brain Abnormality Classification from 2D Ultrasound Images," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 50(2), pages 41584-41585, May.
    • Handle: RePEc:abf:journl:v:50:y:2023:i:2:p:41584-41585
    DOI: 10.26717/BJSTR.2023.50.007939
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