RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy.
Christopher HahneGeorges ChabouhArthur ChavignonOlivier CoutureRaphael SznitmanPublished in: CoRR (2023)
Keyphrases
- data mining
- radio frequency
- deep learning
- signal strength
- machine learning
- received signal strength
- unsupervised learning
- unsupervised feature learning
- weakly supervised
- frequency band
- localization algorithm
- radio frequency identification
- image enhancement
- phased array
- learning algorithm
- mental models
- pattern recognition
- co occurrence
- key technologies
- rfid technology
- high resolution
- multiscale
- intravascular ultrasound
- computer vision