Fetal Brain Abnormality Classification from 2D Ultrasound Images

Sridharan K
Additional contact information
Sridharan K: Professor, Department of Information Technology, Panimalar Engineering College, India

Biomedical Journal of Scientific & Technical Research, 2023, vol. 50, issue 2, 41584-41585

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://biomedres.us/pdfs/BJSTR.MS.ID.007939.pdf (application/pdf)
https://biomedres.us/fulltexts/BJSTR.MS.ID.007939.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:50:y:2023:i:2:p:41584-41585

DOI: 10.26717/BJSTR.2023.50.007939

Access Statistics for this article

Biomedical Journal of Scientific & Technical Research is currently edited by Robert Thomas

More articles in Biomedical Journal of Scientific & Technical Research from Biomedical Research Network+, LLC
Bibliographic data for series maintained by Angela Roy ().