Automatic Fascicle Length Estimation on Muscle Ultrasound Images With an Orientation-Sensitive Segmentation-Reference-Cited by-同舟云学术

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Automatic Fascicle Length Estimation on Muscle Ultrasound Images With an Orientation-Sensitive Segmentation

Published:2015-12 Issue:12 Volume:62 Page:2828-2836
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Zhou Guang-Quan,Zheng Yong-Ping

Funder

Hong Kong Polytechnic University

Research Grant Council of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/7331704/07124444.pdf?arnumber=7124444

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2. A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries;IEEE Transactions on Instrumentation and Measurement;2024

3. A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation;IEEE Transactions on Instrumentation and Measurement;2024

4. A Hybrid Method for Ultrasound-Based Tracking of Skeletal Muscle Architecture;IEEE Transactions on Biomedical Engineering;2023-04

5. A clustering-based method for estimating pennation angle from B-mode ultrasound images;Wearable Technologies;2023

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