MICCAI 2010 - PDF Preprint Papers

MICCAI 2010 International Conference on Medical Image Computing and Computer Assisted Intervention

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MICCAI
2010
Springer

687views Medical Imaging» more MICCAI 2010»

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

14 years 6 months ago

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While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...

A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...

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Id	Views	Title	Status

1	687	A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
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8	219	Brain Morphometry by Probabilistic Latent Semantic Analysis	claim
9	217	Adaptive Multispectral Illumination for Retinal Microsurgery	claim
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16	193	Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization	claim
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53	145	Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image	claim
54	143	Incremental Shape Statistics Learning for Prostate Tracking in TRUS	claim
55	143	Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces	claim
56	142	Appearance Normalization of Histology Slides	claim
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59	140	Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs	claim
60	140	A Geometry-Based Particle Filtering Approach to White Matter Tractography	claim
61	140	Image Registration Driven by Combined Probabilistic and Geometric Descriptors	claim
62	139	Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPLE	claim
63	138	Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images	claim
64	136	Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity	claim
65	135	Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map	claim
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69	129	A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images	claim
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