Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method - Wikidata - awgldk - TriplyDB

Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method

Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method

http://www.wikidata.org/entity/Q37366252

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Imaging Breast Density: Established and Emerging Modalities.A level set based framework for quantitative evaluation of breast tissue density from MRI data.Principles and methods for automatic and semi-automatic tissue segmentation in MRI data.Influence of fat-water separation and spatial resolution on automated volumetric MRI measurements of fibroglandular breast tissue.DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence.Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of BRCA1/2 mutation carriers MRI Background Parenchymal Enhancement Is Not Associated with Breast Cancer Using deep learning to segment breast and fibroglandular tissue in MRI volumes.Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR Imaging Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer.Quantitative evaluation of background parenchymal enhancement (BPE) on breast MRI. A feasibility study with a semi-automatic and automatic software compared to observer-based scores.The Dose-Response Effects of Aerobic Exercise on Body Composition and Breast Tissue among Women at High Risk for Breast Cancer: A Randomized Trial.Fully automated segmentation of whole breast using dynamic programming in dynamic contrast enhanced MR images.Breast density estimation from high spectral and spatial resolution MRI.Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.Accuracy of fully automated, quantitative, volumetric measurement of the amount of fibroglandular breast tissue using MRI: correlation with anthropomorphic breast phantoms.

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Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method

http://www.wikidata.org/entity/Q37366252

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on December 2013

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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

Automated fibroglandular tissu ...... las-aided fuzzy C-means method

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Automated fibroglandular tissu ...... as-aided fuzzy C-means method.

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type

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Automated fibroglandular tissu ...... las-aided fuzzy C-means method

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Automated fibroglandular tissu ...... as-aided fuzzy C-means method.

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Automated fibroglandular tissu ...... las-aided fuzzy C-means method

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Automated fibroglandular tissu ...... as-aided fuzzy C-means method.

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Medical Physics

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Automated fibroglandular tissu ...... las-aided fuzzy C-means method

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Despina Kontos

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Emily F Conant

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Shandong Wu

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American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography

Measures of the Amount of Ecologic Association Between Species

3D multi-parametric breast MRI segmentation using hierarchical support vector machine with coil sensitivity correction.

Mammographic density. Measurement of mammographic density

A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

A pilot study of compositional analysis of the breast and estimation of breast mammographic density using three-dimensional T1-weighted magnetic resonance imaging

Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.

A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Comparison of breast tissue measurements using magnetic resonance imaging, digital mammography and a mathematical algorithm.

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122302

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scholarly article

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10.1118/1.4829496

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12

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Susan P. Weinstein

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2013-12-01T00:00:00Z

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24320533

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