Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.
about
Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessmentComparison of power spectra for tomosynthesis projections and reconstructed images.Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratificationEvaluation of an improved algorithm for producing realistic 3D breast software phantoms: application for mammographyRelationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional studyComputerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility.Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devicesClassification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT.Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer RiskComputerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets.Scaling-law for the energy dependence of anatomic power spectrum in dedicated breast CT.Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure: a preliminary study in a high-risk population.Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study.Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers.Mammographic evidence of microenvironment changes in tumorous breasts.Breast density estimation from high spectral and spatial resolution MRI.Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise.Quantifying masking in clinical mammograms via local detectability of simulated lesions.Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems.Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environments.Improving breast cancer risk stratification using resonance-frequency electrical impedance spectroscopy through fusion of multiple classifiers.
P2860
Q28069307-B6F54C64-E756-404E-AFA3-D9434509B12CQ33703158-B3160647-100C-4E63-AE7F-9F4A08605EBDQ34126888-943E0953-F52E-4DFA-9C72-9DEF537BE56CQ34257659-9494FFC4-E2F0-44B2-8E98-73C188664B72Q34719906-1C2EB574-FE7C-4530-AA95-75539882B00BQ35115892-12FB9EE5-72B4-4694-9BC9-AFF4C44FFD55Q35156032-6B4907E6-AF75-4C15-A8E2-0804677ED1ADQ35222413-49D8159D-3443-4972-AC40-02DDFD06A67EQ35774937-4BE5F93D-3CA9-4737-ADF8-924425E0E9AAQ35774958-CCA8C0E0-8507-408B-B9E7-EF61D104F2DBQ35893059-00C80047-2602-4422-9BCC-A09AA1A2FA87Q36068669-817882CB-76C9-4DFB-B335-319AFB698E3FQ36247590-E7528B3B-B8E9-4788-851D-365654C6E7EAQ36493791-445FBADF-A0B8-43F5-887A-CD4593998F3CQ36756675-8B53F9AF-7018-4BB6-9966-F5BC237B37B1Q37151655-3019617C-2DE3-4F29-BBC3-281079778535Q37677785-61D446F0-0B85-4886-AA06-9EBE715F5CA7Q39005889-8A1D82B7-C9F7-4E40-B496-713E2BE5354EQ39044645-1E434A7D-444B-4D04-B74E-A1633599CA5BQ39971949-AAB0D696-C8D7-4550-8F1B-20362CBB018EQ40356817-B11AE1D7-D97B-40B3-B153-1FB02043E419Q48535210-42BA28C6-9E17-4453-AB90-336124AB09E6Q48537399-2A0D0788-0262-4435-B7B0-977B557135EEQ51268908-BDD71BD0-CCF7-455E-9580-9143C1B7D87EQ51629632-A6323BEF-7CBA-44EC-886A-71F9115094C3
P2860
Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Power spectral analysis of mam ...... breast cancer risk assessment.
@ast
Power spectral analysis of mam ...... breast cancer risk assessment.
@en
Power spectral analysis of mam ...... breast cancer risk assessment.
@nl
type
label
Power spectral analysis of mam ...... breast cancer risk assessment.
@ast
Power spectral analysis of mam ...... breast cancer risk assessment.
@en
Power spectral analysis of mam ...... breast cancer risk assessment.
@nl
prefLabel
Power spectral analysis of mam ...... breast cancer risk assessment.
@ast
Power spectral analysis of mam ...... breast cancer risk assessment.
@en
Power spectral analysis of mam ...... breast cancer risk assessment.
@nl
P2860
P1476
Power spectral analysis of mam ...... breast cancer risk assessment.
@en
P2093
Michael R Chinander
P2860
P2888
P304
P356
10.1007/S10278-007-9093-9
P577
2008-01-03T00:00:00Z