Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
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Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic ReviewA Novel Mouse Segmentation Method Based on Dynamic Contrast Enhanced Micro-CT ImagesQuantitative Evaluation of Treatment Related Changes on Multi-Parametric MRI after Laser Interstitial Thermal Therapy of Prostate Cancer.Diagnostic assessment by dynamic contrast-enhanced and diffusion-weighted magnetic resonance in differentiation of breast lesions under different imaging protocolsIdentifying MRI markers to evaluate early treatment related changes post laser ablation for cancer pain management.Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer.Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility studyA Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings.Tensor based multichannel reconstruction for breast tumours identification from DCE-MRIs.Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.Associating spatial diversity features of radiologically defined tumor habitats with epidermal growth factor receptor driver status and 12-month survival in glioblastoma: methods and preliminary investigationDynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI.Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept StudyExplicit shape descriptors: novel morphologic features for histopathology classification.Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancerClassification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over timeCo-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor.Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit modelDCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy ResponseRadiomics: a new application from established techniques.Malignancy characterization of hepatocellular carcinomas based on texture analysis of contrast-enhanced MR images.Clinical study of contrast-enhanced digital mammography and the evaluation of blood and lymphatic microvessel density.Application of Texture Analysis to Study Small Vessel Disease and Blood-Brain Barrier Integrity.Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI.Textural analysis of early-phase spatiotemporal changes in contrast enhancement of breast lesions imaged with an ultrafast DCE-MRI protocol.Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features.
P2860
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P2860
Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
name
Textural kinetics: a novel dyn ...... breast lesion classification.
@ast
Textural kinetics: a novel dyn ...... breast lesion classification.
@en
Textural kinetics: a novel dynamic contrast-enhanced
@nl
type
label
Textural kinetics: a novel dyn ...... breast lesion classification.
@ast
Textural kinetics: a novel dyn ...... breast lesion classification.
@en
Textural kinetics: a novel dynamic contrast-enhanced
@nl
prefLabel
Textural kinetics: a novel dyn ...... breast lesion classification.
@ast
Textural kinetics: a novel dyn ...... breast lesion classification.
@en
Textural kinetics: a novel dynamic contrast-enhanced
@nl
P2093
P2860
P1476
Textural kinetics: a novel dyn ...... r breast lesion classification
@en
P2093
Deanna Chin
Edward Libfeld
John Nosher
Kathleen Thomas
Margie McDonald
Mark A Rosen
Sarah Englander
Shannon C Agner
P2860
P2888
P304
P356
10.1007/S10278-010-9298-1
P577
2011-06-01T00:00:00Z
P5875
P6179
1019988831