Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.

about

Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.

Item

http://www.wikidata.org/entity/Q46716033

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

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

@zh-hant

name

Predicting the Biomechanical S ...... and Support Vector Regression.

@en

Predicting the Biomechanical S ...... and Support Vector Regression.

@nl

type

Item

label

Predicting the Biomechanical S ...... and Support Vector Regression.

@en

Predicting the Biomechanical S ...... and Support Vector Regression.

@nl

prefLabel

Predicting the Biomechanical S ...... and Support Vector Regression.

@en

Predicting the Biomechanical S ...... and Support Vector Regression.

@nl

P1476

Predicting the Biomechanical S ...... and Support Vector Regression.

@en

P2093

Axel Wismüller

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

Chien-Chun Yang

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

Eva Lochmüller

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

Felix Eckstein

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

Jan S Bauer

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

Julio Carballido-Gamio

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

Mahesh B Nagarajan

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

Markus B Huber

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

Sharmila Majumdar

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

Thomas M Link

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

P2860

Effect of fixation, soft-tissues, and scan projection on bone mineral measurements with dual energy X-ray absorptiometry (DXA).

Detection of suspicious lesions in dynamic contrast enhanced MRI data.

Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: a comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro.

Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.

Cortical and trabecular bone mineral loss from the spine and hip in long-duration spaceflight.

Automated registration of hip and spine for longitudinal QCT studies: integration with 3D densitometric and structural analysis.

Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Advances in osteoporosis imaging.

Patient-specific DXA bone mineral density inaccuracies: quantitative effects of nonuniform extraosseous fat distributions.

Scaling-index method as an image processing tool in scanning-probe microscopy.

P31

scholarly article

P356

10.1117/12.2006265

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

P478

8672

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

P50

Thomas Baum

P577

2013-03-01T00:00:00Z

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

P698

29170579

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

P921

biomechanics

support vector machine

P932

5697150

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