illyrs2 / LOCA-ULM

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Context-Aware Deep Learning Enables High-Efficacy Localization of High Concentration Microbubbles for Super-Resolution Ultrasound Localization Microscopy

Example code for LOCA-ULM simulation pipeline

Context-Aware Deep Learning Enables High-Efficacy Localization of High Concentration Microbubbles for Super-Resolution Ultrasound Localization Microscopy, Nat Commun 15, 2932 (2024). https://doi.org/10.1038/s41467-024-47154-2 We offer two notebooks to introduce LOCA-ULM:

(1) Least Squares Generative Adversarial Networks (LSGAN) training to create synthetic microbubble signals (2) Generating simulation data for online training

Related Dataset

In vivo IQ data are available and can be found in 10.5281/zenodo.10711806 (https://doi.org/10.5281/zenodo.10711806)

About

License:Other


Languages

Language:Jupyter Notebook 90.9%Language:Python 9.1%