Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration

Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR problem (i.e., a class solution) would facilitate clini...

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Bibliographic Details
Main Authors: Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Algorithms
Subjects:
evolutionary machine learning
multi-objective optimization
evolutionary algorithms
class solutions
deformable image registration
breast cancer
Online Access:https://www.mdpi.com/1999-4893/12/5/99

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https://www.mdpi.com/1999-4893/12/5/99

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