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.
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Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over timePredicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancerClassification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.Volumetric Characterization of Human Patellar Cartilage Matrix on Phase Contrast X-Ray Computed Tomography.Using Large-Scale Granger Causality to Study Changes in Brain Network Properties in the Clinically Isolated Syndrome (CIS) Stage of Multiple Sclerosis.Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging.Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta.Investigating Changes in Resting-State Connectivity from Functional MRI Data in Patients with HIV Associated Neurocognitive Disorder Using MCA and Machine Learning.Identifying HIV Associated Neurocognitive Disorder Using Large-Scale Granger Causality Analysis on Resting-State Functional MRI.Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features.Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.Functional Connectivity Analysis in Resting State fMRI with Echo-State Networks and Non-Metric Clustering for Network Structure Recovery.Characterizing Trabecular Bone structure for Assessing Vertebral Fracture Risk on Volumetric Quantitative Computed Tomography.Nonlinear Functional Connectivity Network Recovery in the Human Brain with Mutual Connectivity Analysis (MCA): Convergent Cross-Mapping and Non-Metric Clustering.Use of Quantitative Morphological and Functional Features for Assessment of Axillary Lymph Node in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging.Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation techniqueComputer-aided diagnosis for diagnostically challenging breast lesions in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
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P2860
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.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Classification of small contra ...... upervised vector-quantization.
@en
Classification of small contra ...... upervised vector-quantization.
@nl
type
label
Classification of small contra ...... upervised vector-quantization.
@en
Classification of small contra ...... upervised vector-quantization.
@nl
prefLabel
Classification of small contra ...... upervised vector-quantization.
@en
Classification of small contra ...... upervised vector-quantization.
@nl
P2093
P2860
P1476
Classification of small contra ...... upervised vector-quantization.
@en
P2093
Axel Wismuller
Gerda Leinsinger
Maximilian Reiser
Michael Scherr
Oliver Lange
Thomas Schlossbauer
P2860
P356
10.1097/RLI.0B013E3181559932
P577
2008-01-01T00:00:00Z