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Abstract

Method for supervised segmentation of volumetric data. The method is trained from manual annotations, and these annotations make the method very flexible, which we demonstrate in our experiments. Our method infers label information locally by matching the pattern in a neighborhood around a voxel to a dictionary, and hereby accounts for the volume texture.
Original languageEnglish
Publication date2015
Number of pages1
Publication statusPublished - 2015
Event19th Scandinavian Conference on Image Analysis - Copenhagen, Denmark
Duration: 15 Jun 201517 Jun 2015
Conference number: 19
http://www.scia2015.org/

Conference

Conference19th Scandinavian Conference on Image Analysis
Number19
Country/TerritoryDenmark
CityCopenhagen
Period15/06/201517/06/2015
Internet address

Bibliographical note

This poster is connected with the article in proceeding: R.R. Paulsen and K.S. Pedersen (Eds.): SCIA 2015, LNCS 9127, pp. 504–515, 2015. DOI: 10.1007/978-3-319-19665-7_43

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