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Peer-Reviewed Publication
Bioengineering (Basel)2023;10(5)April 26, 2023Journal Article

A Lightweight Deep Learning Network on a System-on-Chip for Wearable Ultrasound Bladder Volume Measurement Systems: Preliminary Study.

Hyunwoo Cho1, Ilseob Song2,3, Jihun Jang2,3, Yangmo Yoo1,3,4
1Department of Electronic Engineering, Sogang University, Seoul 04107, Republic of Korea.
2Medical Solutions Institute, Sogang University, Seoul 04107, Republic of Korea.
3Edgecare Inc., TE1103, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea.
4Department of Biomedical Engineering, Sogang University, Seoul 04107, Republic of Korea.
PubMed PMC DOI PDF

Abstract

Bladder volume assessments are crucial for managing urinary disorders. Ultrasound imaging (US) is a preferred noninvasive, cost-effective imaging modality for bladder observation and volume measurements. However, the high operator dependency of US is a major challenge due to the difficulty in evaluating ultrasound images without professional expertise. To address this issue, image-based automatic…

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