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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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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5762003/ https://ncbi.nlm.nih.gov/pubmed/29340289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.021206 |
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