Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images

Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images

Ultrasound measurements of detrusor muscle thickness have been proposed as a diagnostic biomarker in patients with bladder overactivity and voiding dysfunction. In this study, we present an approach based on deep learning (DL) and dynamic programming (DP) to segment the bladder sac and measure the d...

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Bibliographic Details
Main Authors: Zeynettin Akkus, Bae Hyung Kim, Rohit Nayak, Adriana Gregory, Azra Alizad, Mostafa Fatemi
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
bladder segmentation
deep learning
detrusor muscle thickness
dynamic programming
transabdominal ultrasound
Online Access:https://www.mdpi.com/1424-8220/20/15/4175

Internet

https://www.mdpi.com/1424-8220/20/15/4175

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