USMicroMagSet: Using Deep Learning Analysis to Benchmark the Performance of Microrobots in Ultrasound Images
Author:
Affiliation:
1. INSA Centre Val de Loire, Laboratoire PRISME, Bourges, France
2. Clermont Auvergne INP, CNRS, SIGMA Clermont, Institut Pascal, Clermont Ferrand, France
Funder
Region Centre Val de Loire Fund with the BUBBLEBOT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10102643/10093014.pdf?arnumber=10093014
Reference36 articles.
1. Magnetic control of self-propelled microjets under ultrasound image guidance
2. Transforming Model Prediction for Tracking
3. Ultrasound Tracking of the Acoustically Actuated Microswimmer
4. Learning Discriminative Model Prediction for Tracking
5. Real-time imaging and tracking of microrobots in tissues using ultrasound phase analysis
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4. Motion Enhanced Multi‐Level Tracker (MEMTrack): A Deep Learning‐Based Approach to Microrobot Tracking in Dense and Low‐Contrast Environments;Advanced Intelligent Systems;2024-02-15
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