Paper

Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices

Published Sep 30, 2023 · Zhiye Song, M. Asiedu, Shuhang Wang

Scientific Reports

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Our low-compute memory-efficient deep learning model accurately segments bladder regions and calculates urine volume in wearable ultrasound devices, reducing the need for expensive GPUs.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices

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