STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
about
Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic ReviewDeformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapyComputerized 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 studyTextural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.Quantification of heterogeneity as a biomarker in tumor imaging: a systematic reviewBreast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.IMPST: A New Interactive Self-Training Approach to Segmentation Suspicious Lesions in Breast MRITensor based multichannel reconstruction for breast tumours identification from DCE-MRIs.Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI.Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.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 timeClassification 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 modelMultilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.A new segmentation framework based on sparse shape composition in liver surgery planning system.Textural analysis of early-phase spatiotemporal changes in contrast enhancement of breast lesions imaged with an ultrafast DCE-MRI protocol.A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.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.Effects of MRI scanner parameters on breast cancer radiomicsApplication of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
P2860
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P2860
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@ast
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@en
type
label
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@ast
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@en
prefLabel
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@ast
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@en
P2093
P2860
P356
P1433
P1476
STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.
@en
P2093
Mitchell D Schnall
Sajjad Baloch
Sarah Englander
Yuanjie Zheng
P2860
P304
P356
10.1118/1.3151811
P407
P577
2009-07-01T00:00:00Z