Grand D

No ORCID on file · 1 paper in corpus
article 2016
Journal of medical imaging (Bellingham, Wash.) ·doi:10.1117/1.jmi.3.1.014501

We propose an adaptable framework for analyzing ultrasound (US) images quantitatively to provide computer-aided diagnosis using machine learning. Our preliminary clinical targets are hepatic steatosis, adenomyosis, and craniosynostosis. For…