Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network

Segmentation of the levator hiatus in ultrasound allows the extraction of biometrics, which are of importance for pelvic floor disorder assessment. We present a fully automatic method using a convolutional neural network (CNN) to outline the levator hiatus in a two-dimensional image extracted from a...

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Detalles Bibliográficos
Autores principales: Bonmati, Ester, Hu, Yipeng, Sindhwani, Nikhil, Dietz, Hans Peter, D’hooge, Jan, Barratt, Dean, Deprest, Jan, Vercauteren, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762003/
https://www.ncbi.nlm.nih.gov/pubmed/29340289
http://dx.doi.org/10.1117/1.JMI.5.2.021206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762003/
https://www.ncbi.nlm.nih.gov/pubmed/29340289
http://dx.doi.org/10.1117/1.JMI.5.2.021206

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