Conference
An optimized volumetric approach to unsupervised image registration
Abstract
Medical image analysis continues to evolve at an unprecedented rate with the integration of contemporary computer systems. Image registration is fundamental to the task of medical image analysis. Traditional methods of medical image registration are extremely time consuming and at times can be inaccurate. Novel techniques, including the amalgamation of machine learning, have proven to be fast, accurate and reliable. However, supervised learning …
Authors
Alsadi N; Hilal W; Surucu O; Giuliano A; Gadsden SA; Yawney J
Volume
12097
Publisher
SPIE, the international society for optics and photonics
Publication Date
May 31, 2022
DOI
10.1117/12.2618647
Name of conference
Big Data IV: Learning, Analytics, and Applications
Conference proceedings
Proceedings of SPIE--the International Society for Optical Engineering
ISSN
0277-786X