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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:J Med Imaging (Bellingham)
Asıl Yazarlar: Bonmati, Ester, Hu, Yipeng, Sindhwani, Nikhil, Dietz, Hans Peter, D’hooge, Jan, Barratt, Dean, Deprest, Jan, Vercauteren, Tom
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Society of Photo-Optical Instrumentation Engineers 2018
Konular:
Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling
Online Erişim: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
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller