Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound

Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound

Point-of-care ultrasound (PoCUS) is a valuable diagnostic tool for pericardial effusion (PCE). However, the time constraints for trainees and experts pose significant barriers to PoCUS learning. This study aims to develop a deep learning (DL) model for detecting and localizing PCE and to investigate...

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Bibliographic Details
Main Authors: Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Pericardial effusion
UNet++
point-of-care ultrasound
deep learning
Online Access:https://ieeexplore.ieee.org/document/10971183/
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https://ieeexplore.ieee.org/document/10971183/

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