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An optimized volumetric approach to unsupervised...
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