Automated placental abruption identification using semantic segmentation, quantitative features, SVM, ensemble and multi-path CNN

Automated placental abruption identification using semantic segmentation, quantitative features, SVM, ensemble and multi-path CNN

The placenta is a fundamental organ throughout the pregnancy and the fetus’ health is closely related to its proper function. Because of the importance of the placenta, any suspicious placental conditions require ultrasound image investigation. We propose an automated method for processing fetal ult...

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Bibliographic Details
Main Authors: Vahid Asadpour, Eric J. Puttock, Darios Getahun, Michael J. Fassett, Fagen Xie
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Heliyon
Subjects:
Ultrasonography
Placental abruption
Placental segmentation
Radiology feature
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023007843

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023007843

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