Accuracy of clinicians and models for estimating the probability that a pulmonary nodule is malignant.
about
An Official American Thoracic Society Research Statement: A Research Framework for Pulmonary Nodule Evaluation and Management.Diagnosis and management of pulmonary nodules.Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.Physician Assessment of Pretest Probability of Malignancy and Adherence With Guidelines for Pulmonary Nodule Evaluation.Therapeutic surgery without a definitive diagnosis can be an option in selected patients with suspected lung cancer.
P2860
Accuracy of clinicians and models for estimating the probability that a pulmonary nodule is malignant.
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@ast
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@en
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@nl
type
label
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@ast
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@en
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@nl
prefLabel
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@ast
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@en
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@nl
P2093
P2860
P1476
Accuracy of clinicians and mod ...... pulmonary nodule is malignant.
@en
P2093
Alex A Balekian
Gerard A Silvestri
Gillian D Sanders
Jackie Porcel
Jamie Daniel
Michael K Gould
Peter J Mestaz
P2860
P304
P356
10.1513/ANNALSATS.201305-107OC
P577
2013-12-01T00:00:00Z