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

Author:

Asadpour VahidORCID,Puttock Eric J.,Getahun Darios,Fassett Michael J.,Xie Fagen

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference29 articles.

1. Placental abruption: epidemiology, risk factors and consequences;Tikkanen;Acta Obstet. Gynecol. Scand.,2011

2. Placental Abruption: Clinical Features and Diagnosis;Ananth,2017

3. Clinical utility of sonography in the diagnosis and treatment of placental abruption;Glantz;J. Ultrasound Med.,2002

4. Slic-Seg: slice-by-slice segmentation propagation of the placenta in fetal MRI using one-plane scribbles and online learning;Wang,2015

5. 3-D ultrasound segmentation of the placenta using the random walker algorithm: reliability and agreement;Stevenson;Ultrasound Med. Biol.,2015

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