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Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
Medical Image Segmentation Via Atlases And Fuzzy Object Models: Improving Efficacy Through Optimum Object Search And Fewer Models
(AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICSMELVILLE, 2016)
Fast Automatic Segmentation of White Matter Streamlines Based on a Multi-Subject Bundle Atlas
(2017)
This paper presents an algorithm for fast segmentation of white matter bundles from massive dMRI tractography datasets using a multisubject atlas. We use a distance metric to compare streamlines in a subject dataset to ...
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
(Ieee, 2011-01-01)
Automatic MR-image segmentation of brain tissues is an important issue in neuroimaging. For instance, it is a key methodological component of a popular technique denominated voxel-based morphometry (VBM), which quantifies ...
Multi-Atlas Structure Segmentation On Medical Images
(2016)
La segmentación de estructuras es muy importante en aplicaciones médicas ya que proporciona un conocimiento cuantitativo del volumen, forma o posición de las estructuras en consideración, lo cual permite el análisis y ...
White matter atlases based on diffusion tensor imaging
(Lippincott Williams & WilkinsPhiladelphiaEUA, 2009)
Medical Image Segmentation Via Atlases And Fuzzy Object Models: Improving Efficacy Through Optimum Object Search And Fewer Models
(Amer Assoc Physicists Medicine Amer Inst PhysicsMelville, 2016)
Hippocampus Segmentation Methodology From MRI Based on kernels and Local Representation
(2019-05-10)
The effectiveness of brain Magnetic Resonance imaging (MRI) as a useful evaluation tool strongly depends on the performed segmentation of involved tissues or anatomical structures. The traditional approach to segment ...