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Histogram Statistics of Local Model-Relative Image Regions

https://doi.org/10.1007/11577812_7
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.1995.1004openalex-snapshot
Active Shape Models-Their Training and Application
inferredcites →https://doi.org/10.1007/11577812openalex-snapshot
Deep Structure, Singularities, and Computer Vision
inferredcites →https://doi.org/10.1007/11577812_5openalex-snapshot
Deep Structure of Images in Populations Via Geometric Models in Populations
inferredcites →https://doi.org/10.1007/11577812_6openalex-snapshot
Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships
inferredcites →https://doi.org/10.1007/978-3-540-45087-0_22openalex-snapshot
Improving Appearance Model Matching Using Local Image Structure
inferredcites →https://doi.org/10.1007/bfb0054729openalex-snapshot
Computer Vision — ECCV’98
inferredcites →https://doi.org/10.1007/bfb0054760openalex-snapshot
Active appearance models
inferredcites →https://doi.org/10.1023/a:1026313132218openalex-snapshot
Deformable M-Reps for 3D Medical Image Segmentation
inferredcites →https://doi.org/10.1109/34.927467openalex-snapshot
Active appearance models
inferredcites →https://doi.org/10.1109/83.902291openalex-snapshot
Active contours without edges
inferredcites →https://doi.org/10.1109/iccv.1998.710701openalex-snapshot
A metric for distributions with applications to image databases
inferredcites →https://doi.org/10.1109/iccv.2001.937632openalex-snapshot
The Earth Mover's distance is the Mallows distance: some insights from statistics
inferredcites →https://doi.org/10.1109/isbi.2004.1398568openalex-snapshot
Clustering on image boundary regions for deformable model segmentation
inferredcites →https://doi.org/10.1109/tmi.2002.808355openalex-snapshot
A shape-based approach to the segmentation of medical imagery using level sets
inferredcites →https://doi.org/10.1109/tmi.2004.841228openalex-snapshot
Model-based segmentation of medical imagery by matching distributions
inferredcites →https://doi.org/10.1118/1.1869872openalex-snapshot
A method and software for segmentation of anatomic object ensembles by deformable m‐reps

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/eng2.12149openalex-snapshot
Study of statistical methods for texture analysis and their modern evolutions
inferred← citeshttps://doi.org/10.1007/11577812_5openalex-snapshot
Deep Structure of Images in Populations Via Geometric Models in Populations
inferred← citeshttps://doi.org/10.1007/11577812_6openalex-snapshot
Estimating the Statistics of Multi-object Anatomic Geometry Using Inter-object Relationships
inferred← citeshttps://doi.org/10.1007/978-3-540-75757-3_31openalex-snapshot
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
inferred← citeshttps://doi.org/10.1007/978-3-642-23626-6_70openalex-snapshot
Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy
inferred← citeshttps://doi.org/10.1007/s11548-008-0281-yopenalex-snapshot
Combining a deformable model and a probabilistic framework for an automatic 3D segmentation of prostate on MRI
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2008.07.002openalex-snapshot
RETRACTED: 3D delineation of prostate, rectum and bladder on MR images
inferred← citeshttps://doi.org/10.1016/j.ijrobp.2007.02.005openalex-snapshot
Automatic Segmentation of Pelvic Structures From Magnetic Resonance Images for Prostate Cancer Radiotherapy
inferred← citeshttps://doi.org/10.1016/j.media.2009.05.004openalex-snapshot
Statistical shape models for 3D medical image segmentation: A review
inferred← citeshttps://doi.org/10.1016/j.media.2010.06.004openalex-snapshot
Segmenting the prostate and rectum in CT imagery using anatomical constraints
inferred← citeshttps://doi.org/10.1088/0031-9155/57/5/1283openalex-snapshot
Learning image context for segmentation of the prostate in CT-guided radiotherapy
inferred← citeshttps://doi.org/10.1088/1361-6560/aaf11copenalex-snapshot
Fully automated organ segmentation in male pelvic CT images
inferred← citeshttps://doi.org/10.1109/cvprw.2006.105openalex-snapshot
Interpolation in Discrete Single Figure Medial Objects
inferred← citeshttps://doi.org/10.1109/isbi.2006.1624943openalex-snapshot
A Statistical Appearance Model Based on Intensity Quantile Histograms
inferred← citeshttps://doi.org/10.1109/isbi.2007.356999openalex-snapshot
AUTOMATIC SEGMENTATION OF THE BLADDER USING DEFORMABLE MODELS
inferred← citeshttps://doi.org/10.1118/1.4962468openalex-snapshot
Automatic multiorgan segmentation in CT images of the male pelvis using region‐specific hierarchical appearance cluster models
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