Enhancing atlas based segmentation with multiclass linear classifiers.

Journal: Medical physics

Published Date: Dec 1, 2015

Abstract

PURPOSE: To present a method to enrich atlases for atlas based segmentation. Such enriched atlases can then be used as a single atlas or within a multiatlas framework.

Authors

Michaël Sdika

Univ. Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69100, Lyon, France. Electronic address: michael.sdika@creatis.insa-lyon.fr.

Keywords

Atlases as Topic Brain Datasets as Topic Diagnostic Imaging Humans Image Processing, Computer-Assisted Machine Learning Software Time

External Resources

View on PubMed Access via DOI PubMed (26632071)

Enhancing atlas based segmentation with multiclass linear classifiers.

Abstract

Authors

Keywords

External Resources

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