Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation

Kyungsu Lee

Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation

Kyungsu Lee

Department of Computer Science & Artificial Intelligence

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
State	Published - 2024.07.1

Cite this

TY - JOUR

T1 - Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation

AU - Lee, Kyungsu

PY - 2024/7/1

Y1 - 2024/7/1

M3 - Journal article

JO - IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL

JF - IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL

ER -