Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.
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Computer-aided diagnosis in phase contrast imaging X-ray computed tomography for quantitative characterization of ex vivo human patellar cartilageIntegrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography.Quantification of heterogeneity as a biomarker in tumor imaging: a systematic reviewAutomatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.Automatic Contrast Enhancement of Brain MR Images Using Hierarchical Correlation Histogram AnalysisClassification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over timeComputer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features.Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.Phase contrast imaging X-ray computed tomography: Quantitative characterization of human patellar cartilage matrix with topological and geometrical features.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.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.Investigating the use of texture features for analysis of breast lesions on contrast-enhanced cone beam CT.Using Anisotropic 3D Minkowski Functionals for Trabecular Bone Characterization and Biomechanical Strength Prediction in Proximal Femur Specimens.Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features.Investigating Changes in Brain Network Properties in HIV-Associated Neurocognitive Disease (HAND) using Mutual Connectivity Analysis (MCA).Predicting the Biomechanical Strength of Proximal Femur Specimens with Minkowski Functionals and Support Vector Regression.Detecting Altered connectivity patterns in HIV associated neurocognitive impairment using Mutual Connectivity Analysis.Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.Mutual Connectivity Analysis (MCA) Using Generalized Radial Basis Function Neural Networks for Nonlinear Functional Connectivity Network Recovery in 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.Large-Scale Granger Causality Analysis on Resting-State Functional MRI.Nonlinear Functional Connectivity Network Recovery in the Human Brain with Mutual Connectivity Analysis (MCA): Convergent Cross-Mapping and Non-Metric Clustering.Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.
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Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on January 2013
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
@cs
name
Classification of Small Lesion ...... res Through Feature Selection.
@en
Classification of Small Lesion ...... res Through Feature Selection.
@nl
type
label
Classification of Small Lesion ...... res Through Feature Selection.
@en
Classification of Small Lesion ...... res Through Feature Selection.
@nl
prefLabel
Classification of Small Lesion ...... res Through Feature Selection.
@en
Classification of Small Lesion ...... res Through Feature Selection.
@nl
P2093
P2860
P356
P1476
Classification of Small Lesion ...... res Through Feature Selection.
@en
P2093
Andrzej Krol
Axel Wismüller
Gerda Leinsinger
Mahesh B Nagarajan
Markus B Huber
Thomas Schlossbauer
P2860
P356
10.5405/JMBE.1183
P577
2013-01-01T00:00:00Z