Fully automatic segmentation of the proximal femur using random forest regression voting.
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Increasing shape modelling accuracy by adjusting for subject positioning: an application to the analysis of radiographic proximal femur symmetry using data from the Osteoarthritis InitiativeAutomatic detection of the anterior and posterior commissures on MRI scans using regression forestsFully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method.Automatic localization of the anterior commissure, posterior commissure, and midsagittal plane in MRI scans using regression forestsPrediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images.Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT imagesFully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.Fluoroscopy-based tracking of femoral kinematics with statistical shape models.Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks.Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis.Collaborative regression-based anatomical landmark detection.Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.Robust x-ray image segmentation by spectral clustering and active shape model.Deformable appearance pyramids for anatomy representation, landmark detection and pathology classification.Robust anatomical landmark detection with application to MR brain image registrationMR volumetric assessment of endolymphatic hydrops.Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.Fast segmentation of kidney components using random forests and ferns.Lung field segmentation using weighted sparse shape composition with robust initialization.The Role of PET-Based Radiomic Features in Predicting Local Control of Esophageal Cancer Treated with Concurrent Chemoradiotherapy.
P2860
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P2860
Fully automatic segmentation of the proximal femur using random forest regression voting.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
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2013年學術文章
@zh-hant
name
Fully automatic segmentation of the proximal femur using random forest regression voting.
@en
Fully automatic segmentation of the proximal femur using random forest regression voting.
@nl
type
label
Fully automatic segmentation of the proximal femur using random forest regression voting.
@en
Fully automatic segmentation of the proximal femur using random forest regression voting.
@nl
prefLabel
Fully automatic segmentation of the proximal femur using random forest regression voting.
@en
Fully automatic segmentation of the proximal femur using random forest regression voting.
@nl
P2093
P356
P1476
Fully automatic segmentation of the proximal femur using random forest regression voting
@en
P2093
G A Wallis
J M Wilkinson
S Thiagarajah
arcOGEN Consortium
P304
P356
10.1109/TMI.2013.2258030
P577
2013-04-12T00:00:00Z