An object-based approach for detecting small brain lesions: application to Virchow-Robin spaces.
about
Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: a systematic review.Brain anatomical structure segmentation by hybrid discriminative/generative models.Detection of clustered microcalcifications using spatial point process modelingThe feasibility of quantitative MRI of perivascular spaces at 7T.Development and initial evaluation of a semi-automatic approach to assess perivascular spaces on conventional magnetic resonance images.MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength.Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features.Segmentation of perivascular spaces in 7T MR image using auto-context model with orientation-normalized features.Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering.
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P2860
An object-based approach for detecting small brain lesions: application to Virchow-Robin spaces.
description
2004 nî lūn-bûn
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2004年の論文
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2004年学术文章
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name
An object-based approach for d ...... ation to Virchow-Robin spaces.
@en
An object-based approach for d ...... ation to Virchow-Robin spaces.
@nl
type
label
An object-based approach for d ...... ation to Virchow-Robin spaces.
@en
An object-based approach for d ...... ation to Virchow-Robin spaces.
@nl
prefLabel
An object-based approach for d ...... ation to Virchow-Robin spaces.
@en
An object-based approach for d ...... ation to Virchow-Robin spaces.
@nl
P2093
P356
P1476
An object-based approach for d ...... ation to Virchow-Robin spaces.
@en
P2093
Frithjof Kruggel
Hermann Josef Gertz
Xavier Descombes
P304
P356
10.1109/TMI.2003.823061
P50
P577
2004-02-01T00:00:00Z