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3D segmentation of rodent brain structures using Active Volume Model with shape priors
2011
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases at earlier stages. Deformable model based segmentation methods have been widely used with considerable success. Recently, 3D Active Volume Model (AVM) was proposed, which incorporates both gradient and region information for robustness. However, the segmentation performance of this model depends on the position, size
doi:10.1109/isbi.2011.5872439
dblp:conf/isbi/ZhangHUSDHVTM11
fatcat:a6zwm4bkgjepzivgyscrltuz7m