Prostate cancer: computer-aided diagnosis with multiparametric 3-T MR imaging--effect on observer performance.
about
Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.Diagnostic value and relative weight of sequence-specific magnetic resonance features in characterizing clinically significant prostate cancers.Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI.Interactive Feature Space Explorer© for multi-modal magnetic resonance imaging.Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance ImagingImpact of an Information Technology-Enabled Initiative on the Quality of Prostate Multiparametric MRI ReportsColor-coded visualization of magnetic resonance imaging multiparametric maps.Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions.Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.Multiparametric MRI of the prostate gland: technical aspects.Quantitative analysis of diffusion-weighted magnetic resonance images: differentiation between prostate cancer and normal tissue based on a computer-aided diagnosis system.Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.Multiparametric magnetic resonance imaging of the prostate-a basic tutorial.Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI.Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI.Characterization and stratification of prostate lesions based on comprehensive multiparametric MRI using detailed whole-mount histopathology as a reference standard.Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation.Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study.Prostate cancer identification: quantitative analysis of T2-weighted MR images based on a back propagation artificial neural network model.Pilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features.[Multiparametric imaging with simultaneous MRI/PET: Methodological aspects and possible clinical applications].Differentiation of prostate cancer lesions with high and with low Gleason score by diffusion-weighted MRI.[Multiparametric imaging with simultaneous MR/PET. Methodological aspects and possible clinical applications].Deep Learning Role in Early Diagnosis of Prostate Cancer.Computer-aided diagnosis of prostate cancer with MRIAutomated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR ImagingCan computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation
P2860
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P2860
Prostate cancer: computer-aided diagnosis with multiparametric 3-T MR imaging--effect on observer performance.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
@zh-hant
name
Prostate cancer: computer-aide ...... ffect on observer performance.
@en
type
label
Prostate cancer: computer-aide ...... ffect on observer performance.
@en
prefLabel
Prostate cancer: computer-aide ...... ffect on observer performance.
@en
P2093
P356
P1433
P1476
Prostate cancer: computer-aide ...... effect on observer performance
@en
P2093
Christina A Hulsbergen-van de Kaa
Henkjan J Huisman
Jelle O Barentsz
Pieter C Vos
P304
P356
10.1148/RADIOL.12111634
P407
P577
2012-11-30T00:00:00Z