Improving Visibility of Stereo-Radiographic Spine Reconstruction with Geometric Inferences.

about

Improving Visibility of Stereo-Radiographic Spine Reconstruction with Geometric Inferences.

Item

http://www.wikidata.org/entity/Q36678293

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@ast

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@en

type

Item

label

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@ast

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@en

prefLabel

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@ast

Improving Visibility of Stereo ...... ion with Geometric Inferences.

@en

P1476

Improving Visibility of Stereo ...... tion with Geometric Inferences

@en

P2093

K S Hareesha

http://www.w3.org/2001/XMLSchema#string

P2860

Articulated spine models for 3-D reconstruction from partial radiographic data.

Three-dimensional surface rendering reconstruction of scoliotic vertebrae using a non stereo-corresponding points technique.

3-D reconstruction of the spine from biplanar radiographs based on contour matching using the Hough transform.

A versatile 3D reconstruction system of the spine and pelvis for clinical assessment of spinal deformities.

Analysis of structural features of deformed spines in frontal and sagittal projections.

Assessment of the 3-d reconstruction and high-resolution geometrical modeling of the human skeletal trunk from 2-D radiographic images.

Optimized vertical stereo base radiographic setup for the clinical three-dimensional reconstruction of the human spine.

Thoracic human vertebrae. Quantitative three-dimensional anatomy.

A semi-automated method using interpolation and optimisation for the 3D reconstruction of the spine from bi-planar radiography: a precision and accuracy study.

Automatic quantification of spinal curvature in scoliotic radiograph using image processing.

P2888

s10278-015-9841-1

P304

226-234

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S10278-015-9841-1

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Sampath Kumar

K Prabhakar Nayak

P577

2016-04-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

26537930

http://www.w3.org/2001/XMLSchema#string

P932

4788621

http://www.w3.org/2001/XMLSchema#string