Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology.

Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology.

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http://www.wikidata.org/entity/Q36905932
Limitations and Prospects for Diffusion-Weighted MRI of the ProstateMeasurement and modeling of diffusion time dependence of apparent diffusion coefficient and fractional anisotropy in prostate tissue ex vivo.Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging.Magnetic resonance imaging in the early detection of prostate cancer and review of the literature on magnetic resonance imaging-stratified clinical pathways.[Prostate gland - what would urologists like to know from radiologists?]Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation
P2860

Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology.

Item
http://www.wikidata.org/entity/Q36905932
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Detection of Prostate Cancer: ...... ed Correlative Histopathology.
@en
type
label
Detection of Prostate Cancer: ...... ed Correlative Histopathology.
@en
prefLabel
Detection of Prostate Cancer: ...... ed Correlative Histopathology.
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Detection of Prostate Cancer: ...... red Correlative Histopathology
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P2093
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P698
P932