Adam Tuomi

No ORCID on file · 3 papers in corpus · active 2015-2017

Study types

  • article 3

Condition tags

  • adenomyosis 3
article 2017
Improving Ultrasound Detection of Uterine Adenomyosis Through Computational Texture Analysis
Ultrasound quarterly ·doi:10.1097/ruq.0000000000000322

The purpose of our study was to determine if a textural analysis metric can be implemented to improve diagnosis of adenomyosis by ultrasound.We retrospectively identified 38 patients with a magnetic resonance imaging (MRI) diagnosis of uter…

article 2016
Quantitative analysis of ultrasound images for computer-aided diagnosis
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…

article 2015
Quantitative ultrasound texture analysis for clinical decision making support
·doi:10.1117/12.2081949

We propose a general ultrasound (US) texture-analysis and machine-learning framework for detecting the presence of disease that is suitable for clinical application across clinicians, disease types, devices, and operators. Its stages are im…