Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules.
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A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets.Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis.Digital chest tomosynthesis: the 2017 updated review of an emerging application.
P2860
Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Multi-Institutional Evaluation ...... nagement of Pulmonary Nodules.
@en
type
label
Multi-Institutional Evaluation ...... nagement of Pulmonary Nodules.
@en
prefLabel
Multi-Institutional Evaluation ...... nagement of Pulmonary Nodules.
@en
P2093
P2860
P1433
P1476
Multi-Institutional Evaluation ...... nagement of Pulmonary Nodules.
@en
P2093
Dev P Chakraborty
Ella A Kazerooni
Gautham P Reddy
H Page McAdams
James T Dobbins
Magnus Båth
P2860
P304
P356
10.1148/RADIOL.2016150497
P407
P577
2016-07-19T00:00:00Z