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» Deformable Organisms for Automatic Medical Image Analysis
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BIBE
2008
IEEE
112views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
Fractal analysis of medical images in the irregular regions of interest
Abstract— For medical images diagnostically important information often lies in the texture. Fractal dimension may be used as an index of irregularity. In this paper we describe ...
Edward Oczeretko, Marta Borowska, Agnieszka Kitlas...
IPMI
2009
Springer
14 years 9 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
MICCAI
2003
Springer
14 years 9 months ago
Determination of the Mechanical Properties of Soft Human Tissues through Aspiration Experiments
Mechanical models for soft human organs are necessary for a variety of medical applications, such as surgical planning, virtual reality surgery simulators, and for diagnostic purpo...
Alessandro Nava, Edoardo Mazza, Frederic Kleinerma...
PR
2000
158views more  PR 2000»
13 years 8 months ago
Applying deformable templates for cell image segmentation
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
Antonio Garrido Carrillo, Nicolas Pérez de ...
ISBI
2006
IEEE
14 years 2 months ago
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable threedimensio...
Qi Duan, Elsa D. Angelini, Olivier Gérard, ...