Results 21 to 30 of about 53,852 (253)

A Statistical Shape Model for the Liver [PDF]

, 2002
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between them.
Hans Lamecker, Thomas Lange, Martin Seebass   +2 more
openaire   +1 more source

Statistical shape theory for activity modeling [PDF]

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003
Monitoring activities in a certain region from video data is an important surveillance problem. The goal is to learn the pattern of normal activities and detect unusual ones by identifying activities that deviate appreciably from the typical ones. We propose an approach using statistical shape theory based on the shape model of D.G. Kendall et al. (see
Namrata Vaswani, Amit K. Roy-Chowdhury, Rama Chellappa   +2 more
openaire   +1 more source

A statistical model for mapping morphological shape [PDF]

Theoretical Biology and Medical Modelling, 2010
AbstractBackgroundLiving things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching implications for a range spectrum of scientific disciplines including anthropology, agriculture, developmental biology, evolution and biomedicine.ResultsWe derived a ...
Fu, Guifang, Berg, Arthur, Das, Kiranmoy, Li, Jiahan, Li, Runze, Wu, Rongling   +5 more
openaire   +2 more sources

Statistical Modeling of Craniofacial Shape and Texture [PDF]

International Journal of Computer Vision, 2019
Abstract We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset of 3D images, the Headspace dataset, thus generating the first public shape-and-texture 3D morphable model (3DMM) of the full human head. Our approach is the first to employ a template that adapts to the dataset subject before dense morphing ...
Dai, Hang, Pears, Nicholas Edwin, Smith, William Alfred Peter, Duncan, Christian   +3 more
openaire   +3 more sources

Statistical Multi-Object Shape Models [PDF]

International Journal of Computer Vision, 2007
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach, it is described by a probabilistic model on the deformations that transform a common template into various instances.
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-Yeon Jeong   +3 more
openaire   +1 more source

Cell segmentation and representation with shape priors

Computational and Structural Biotechnology Journal, 2023
Cell segmentation is a fundamental problem of computational biology, for which convolutional neural networks yield the best results nowadays. This field is expanding rapidly, and in the recent years, shape-constrained segmentation models emerged as ...
Dominik Hirling, Peter Horvath
doaj   +1 more source

Development of an in situ procedure to evaluate the reticulo-rumen morphology of sheep selected for divergent methane emissions

Animal, 2019
Published studies have shown that methane yield (g CH4/kg dry matter) from sheep is positively correlated with the size (volume and surface area) of the reticulo-rumen (RR) and the weight of its contents.
S.J. Waite, J. Zhang, J.E. Cater, G.C. Waghorn, W.E. Bain, J.C. McEwan, V. Suresh   +6 more
doaj   +1 more source

Dual-energy X-ray absorptiometry derived knee shape may provide a useful imaging biomarker for predicting total knee replacement: Findings from a study of 37,843 people in UK Biobank

Osteoarthritis and Cartilage Open
Objective: We aimed to create an imaging biomarker for knee shape using knee dual-energy x-ray absorptiometry (DXA) scans and investigate its potential association with subsequent total knee replacement (TKR), independently of radiographic features of ...
Rhona A. Beynon, Fiona R. Saunders, Raja Ebsim, Monika Frysz, Benjamin G. Faber, Jennifer S. Gregory, Claudia Lindner, Aliya Sarmanova, Richard M. Aspden, Nicholas C. Harvey, Timothy Cootes, Jonathan H. Tobias   +11 more
doaj   +1 more source

AI-driven hybrid framework for the generation of population-specific cardiovascular virtual cohortsAI-driven hybrid framework for the generation of population-specific cardiovascular virtual cohorts [PDF]

Royal Society Open Science
In silico clinical trials (ISCTs) offer a promising approach to accelerate the commercialization of cardiovascular devices. In this study, we present a novel synthetic data generation framework for generating clinically relevant cardiovascular geometries
Rajarajeswari Ganesan, Sabine Verstraeten, Pjotr Hilhorst, Frans van de Vosse, Wouter Huberts   +4 more
doaj   +1 more source

Parametrized statistical appearance and shape modelling strategy to predict proximal and diaphyseal femoral fractures

Frontiers in Bioengineering and Biotechnology
IntroductionFemoral loading leading to a fracture is known to vary with anthropometry, and patient-specific finite element models have provided important insights into fracture prediction but are often very time consuming to generate.
Özgür Cebeci, Özgür Cebeci, Duane S. Cronin, Sara Checa, Sara Checa   +4 more
doaj   +1 more source