about
An open environment CT-US fusion for tissue segmentation during interventional guidanceAutomated reconstruction algorithm for identification of 3D architectures of cribriform ductal carcinoma in situCreation and characterization of an ultrasound and CT phantom for noninvasive ultrasound thermometry calibrationModern breast cancer detection: a technological reviewQuantification of breast density with dual energy mammography: an experimental feasibility study.Segmentation and quantification of materials with energy discriminating computed tomography: a phantom study.How does semi-automated computer-derived CT measure of breast density compare with subjective assessments to assess mean glandular breast density, in patients with breast cancer?Fast patient-specific Monte Carlo brachytherapy dose calculations via the correlated sampling variance reduction technique.Characterizing anatomical variability in breast CT imagesEffect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesionsBreast density evaluation using spectral mammography, radiologist reader assessment, and segmentation techniques: a retrospective study based on left and right breast comparisonA Quantification Method for Breast Tissue Thickness and Iodine Concentration Using Photon-Counting DetectorCupping artifact correction and automated classification for high-resolution dedicated breast CT images.Digital Breast Tomosynthesis: State of the ArtQuantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility studyPopulation of 224 realistic human subject-based computational breast phantoms.Dedicated breast CT: fibroglandular volume measurements in a diagnostic population.A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications.Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructionsX-ray phase contrast imaging of the breast: analysis of tissue simulating materials.Ultrasound histogram assessment of parotid gland injury following head-and-neck radiotherapy: a feasibility study.Association between power law coefficients of the anatomical noise power spectrum and lesion detectability in breast imaging modalities.Automatic Tissue Classification for High-resolution Breast CT Images Based on Bilateral Filtering.Breast density quantification using magnetic resonance imaging (MRI) with bias field correction: a postmortem study.Anthropomorphic breast phantoms with physiological water, lipid, and hemoglobin content for near-infrared spectral tomography.Dosimetry in x-ray-based breast imaging.Fully iterative scatter corrected digital breast tomosynthesis using GPU-based fast Monte Carlo simulation and composition ratio update.Temporal subtraction contrast-enhanced dedicated breast CT.Comparison of TG-43 and TG-186 in breast irradiation using a low energy electronic brachytherapy source.Quantitative contrast-enhanced spectral mammography based on photon-counting detectors: A feasibility study.Analysis of biological tissues in infant chest for the development of an equivalent radiographic phantom.Compact x-ray sources for mammographic applications: Monte Carlo simulations of image quality.An Unsupervised Automatic Segmentation Algorithm for Breast Tissue Classification of Dedicated Breast Computed Tomography Images.
P2860
Q27313323-38831518-5C17-4E4A-9876-834DF3A34E1AQ27321444-F7C87E86-87CD-4560-945C-D077DE3038A5Q30419724-07D26816-532C-433F-A0E3-31174AAAA50DQ30484044-9A833F56-C5F3-4776-9067-6C78C9B441CDQ33678108-2D404EF8-483E-4643-9168-BF0488045E90Q34493711-29BBDB89-672A-40A4-BFBA-534DB3845079Q34568198-25DAE4B7-3C9A-4E7D-AD6B-14D35E80C5CEQ35764009-210A2FEC-0072-42AD-B38A-C7D93245BF58Q35832554-27E5ED4C-3029-42D1-A54C-18410F6299F4Q35863189-2A687E7D-22E3-4347-9B71-5A2AC97C3C12Q35890016-9AB8F635-9E4B-41BD-B2C1-61AE7667C9E2Q36062533-C9CF8232-3A9F-4B6B-BB3C-CD0AD7B36F6EQ36335426-CDE731CF-A2C0-4D49-921B-69081A7029E6Q36336971-32233529-A45D-4F80-8A2C-916C850A28E5Q36340930-51447DD8-EE5F-4C00-A067-DA1D7D65B29BQ36385472-FA00671A-D308-4CC0-AAB8-37CAA57389C5Q36474421-F089769C-B50B-4F43-A745-8AABAF07ACA2Q36544818-6D59BB16-0A4F-4F31-9EEA-B159308FB002Q36630584-E652D235-4526-40B4-82E4-FDAE37FA30BDQ36728118-514DD8DB-E818-48B5-B795-60036DEAE034Q36787624-17C42A32-2F11-4DF0-9EAE-9941A538571BQ36842385-643A97C6-BCAD-4563-91FC-5E03B4A94626Q37155960-8A780395-0C55-4CC8-B697-AAF27F6CDE75Q37390920-4282FCB3-5FAA-4FEF-B599-53AB22491C92Q37587245-2B438F50-BAD5-48D2-B92F-B2566EDD881EQ38951824-3098FB8D-F131-4865-BD9D-0569AEB47337Q40309837-465FAB6D-88AB-4862-849F-9BAB40C1B808Q41385233-AF047364-6C81-4240-84B4-38F2112A0D54Q46000557-A72DE051-8BEF-48A9-A7C2-CC68C21E6A13Q46417872-5B727910-E548-424C-9C72-06887025069BQ51411720-8C1CEA0E-322E-4DEC-BFE4-EE7F83DB0A22Q51768778-47558261-063D-42D2-8A6C-8991F5054FEFQ52575316-BCCCFB4F-9150-4F2E-A819-5964E70FE0DD
P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին 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
Classification of breast computed tomography data
@ast
Classification of breast computed tomography data
@en
type
label
Classification of breast computed tomography data
@ast
Classification of breast computed tomography data
@en
prefLabel
Classification of breast computed tomography data
@ast
Classification of breast computed tomography data
@en
P2093
P2860
P356
P1433
P1476
Classification of breast computed tomography data
@en
P2093
John M Boone
Karen K Lindfors
Laura I Cerviño
Thomas R Nelson
P2860
P304
P356
10.1118/1.2839439
P407
P577
2008-03-01T00:00:00Z