Ultrasound elastic modulus reconstruction using a deep learning model trained with simulated data
The presented work demonstrated that provided the simulated data are sufficiently diverse and representative of a wide variability, the algorithm trained on simulated data would generalize well to both phantom, as well as real-world clinical data.
Authors
- Richard Simon
- Utsav Tuladhar
- Cristian A. Linte (ORCID: https://orcid.org/0000-0001-7602-7937)
- Michael S. Richards
Institutions
- Rochester Institute of Technology (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1117/1.jmi.12.1.017001
- Citations
- 2
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.09