3D image segmentation using combined shape-intensity prior models

Autor:	Rainer Schubert, Karl D. Fritscher, Agnes Grünerbl
Rok vydání:	2007
Předmět:	Level set (data structures) Segmentation-based object categorization business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Biomedical Engineering Scale-space segmentation Health Informatics Pattern recognition Statistical model General Medicine Image segmentation Computer Graphics and Computer-Aided Design Computer Science Applications Active appearance model Robustness (computer science) Radiology Nuclear Medicine and imaging Surgery Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business
Zdroj:	International Journal of Computer Assisted Radiology and Surgery. 1:341-350
ISSN:	1861-6429 1861-6410
Popis:	Objective Statistical models for medical images have been developed to increase robustness in the segmentation process. In this project, a fully automatic approach to build a statistical shape-intensity model and combine this model with level set segmentation was designed, implemented and tested by applying the algorithm to clinical image data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a6c6931323b910cd23a318aa9703035f https://doi.org/10.1007/s11548-007-0070-z Zobrazit plný text záznamu Full text from SpringerLink