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Building generic anatomical models using virtual model cutting and iterative registration3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automatic vs manual methods.Tensor classification of N-point correlation function features for histology tissue segmentationA context-sensitive active contour for 2D corpus callosum segmentation.3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images.Multi-object segmentation framework using deformable models for medical imaging analysis.Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation.
P2860
Q33698516-7DE7686D-6FE6-40B1-A5C4-494A42E5B716Q36235334-F9437C6C-341B-43E2-8F9F-E77DFD65081FQ36331677-976631AD-F5BF-4934-83C0-1AC502C2793CQ41886891-AD21D02E-721A-4276-8E77-2858C891B43BQ46188539-2ABCB7C3-EB5E-4D46-896F-DF519E3A7FC5Q50851227-A2C8EB67-CE52-4D63-894F-0A77EFB7E481Q51686495-322D7E06-3DCB-434B-86D4-F45D718A2DDA
P2860
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
A hybrid framework for 3D medical image segmentation.
@en
A hybrid framework for 3D medical image segmentation.
@nl
type
label
A hybrid framework for 3D medical image segmentation.
@en
A hybrid framework for 3D medical image segmentation.
@nl
prefLabel
A hybrid framework for 3D medical image segmentation.
@en
A hybrid framework for 3D medical image segmentation.
@nl
P1476
A hybrid framework for 3D medical image segmentation
@en
P2093
Dimitris Metaxas
P304
P356
10.1016/J.MEDIA.2005.04.004
P50
P577
2005-12-01T00:00:00Z