Paper Info
Title
Abstract: Probabilistic Appearance Models for Medical Image Analysis.
Abstract
The identification of one-to-one point correspondences between image objects is one key aspect and at the same time the most challenging part of generating statistical shape and appearance models. Using probabilistic correspondences between samples instead of accurately placed landmarks for shape models [1] eliminated the need of extensive and time consuming landmark and correspondence determination, and furthermore, the dependency of the quality of the generated model on potentially wrong correspondences was reduced.
Year
DOI
Venue
2018
10.1007/978-3-662-56537-7_23
Bildverarbeitung für die Medizin
Field
DocType
Citations 
Pattern recognition,Computer science,Artificial intelligence,Probabilistic logic,Landmark
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Julia Krüger1167.63
Jan Ehrhardt238754.33
Heinz Handels31527239.84