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Refinado por: assunto: Middle Aged remover assunto: Thoracic Radiography remover
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1
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings
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Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

Park, Sohee ; Lee, Sang Min ; Lee, Kyung Hee ; Jung, Kyu-Hwan ; Bae, Woong ; Choe, Jooae ; Seo, Joon Beom

European radiology, 2020-03, Vol.30 (3), p.1359-1368 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
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Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study

Hwang, Eui Jin ; Hong, Jung Hee ; Lee, Kyung Hee ; Kim, Jung Im ; Nam, Ju Gang ; Kim, Da Som ; Choi, Hyewon ; Yoo, Seung Jin ; Goo, Jin Mo ; Park, Chang Min

European radiology, 2020-07, Vol.30 (7), p.3660-3671 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning
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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

Kim, Young-Gon ; Lee, Sang Min ; Lee, Kyung Hee ; Jang, Ryoungwoo ; Seo, Joon Beom ; Kim, Namkug

European radiology, 2020-09, Vol.30 (9), p.4943-4951 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Hwang, Eui Jin ; Kim, Hyungjin ; Lee, Jong Hyuk ; Goo, Jin Mo ; Park, Chang Min

European radiology, 2020-12, Vol.30 (12), p.6902-6912 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Time-to-Detection in Culture Predicts Risk of Mycobacterium tuberculosis Transmission: A Cohort Study
Time-to-Detection in Culture Predicts Risk of Mycobacterium tuberculosis Transmission: A Cohort Study
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Time-to-Detection in Culture Predicts Risk of Mycobacterium tuberculosis Transmission: A Cohort Study

O'Shea, Matthew K. ; Koh, Gavin C. K. W. ; Munang, Melinda ; Smith, Grace ; Banerjee, Arpan ; Dedicoat, Martin

Clinical infectious diseases, 2014-07, Vol.59 (2), p.177-185 [Periódico revisado por pares]

Oxford: OXFORD UNIVERSITY PRESS

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6
Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis
Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis
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Effect of radiation dose level on the detectability of pulmonary nodules in chest tomosynthesis

Asplund, Sara A. ; Johnsson, Åse A. ; Vikgren, Jenny ; Svalkvist, Angelica ; Flinck, Agneta ; Boijsen, Marianne ; Fisichella, Valeria A. ; Månsson, Lars Gunnar ; Båth, Magnus

European radiology, 2014-07, Vol.24 (7), p.1529-1536 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Clinical decision rule to prevent unnecessary chest X-ray in patients with blunt multiple traumas
Clinical decision rule to prevent unnecessary chest X-ray in patients with blunt multiple traumas
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Clinical decision rule to prevent unnecessary chest X-ray in patients with blunt multiple traumas

Forouzanfar, Mohammad Mehdi ; Safari, Saeed ; Niazazari, Maryam ; Baratloo, Alireza ; Hashemi, Behrooz ; Hatamabadi, Hamid Reza ; Rahmati, Farhad ; Sanei Taheri, Morteza

Emergency medicine Australasia, 2014-12, Vol.26 (6), p.561-566 [Periódico revisado por pares]

Australia: Blackwell Publishing Ltd

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8
Early Radiographic and Tomographic Manifestations of Legionnaires' Disease
Early Radiographic and Tomographic Manifestations of Legionnaires' Disease
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Early Radiographic and Tomographic Manifestations of Legionnaires' Disease

Poirier, Rémi, MD ; Rodrigue, Jean, MD ; Villeneuve, Jasmin, MD ; Lacasse, Yves, MD, MSc, FRCP

Canadian Association of Radiologists journal, 2017-08, Vol.68 (3), p.328-333 [Periódico revisado por pares]

Los Angeles, CA: Elsevier Inc

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9
Accuracy of the chest radiograph to identify bilateral pulmonary infiltrates consistent with the diagnosis of acute respiratory distress syndrome using computed tomography as reference standard
Accuracy of the chest radiograph to identify bilateral pulmonary infiltrates consistent with the diagnosis of acute respiratory distress syndrome using computed tomography as reference standard
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Accuracy of the chest radiograph to identify bilateral pulmonary infiltrates consistent with the diagnosis of acute respiratory distress syndrome using computed tomography as reference standard

Figueroa-Casas, Juan B., MD ; Brunner, Noemi, MD ; Dwivedi, Alok K., PhD ; Ayyappan, Anoop P., MD

Journal of critical care, 2013-08, Vol.28 (4), p.352-357 [Periódico revisado por pares]

United States: Elsevier Inc

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10
The Prevalence of Pulmonary Parenchymal Tuberculosis in Patients With Tuberculous Pleuritis
The Prevalence of Pulmonary Parenchymal Tuberculosis in Patients With Tuberculous Pleuritis
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The Prevalence of Pulmonary Parenchymal Tuberculosis in Patients With Tuberculous Pleuritis

Kim, Hee Joung ; Lee, Hyun Ju ; Kwon, Sung-Youn ; Yoon, Ho Il ; Chung, Hee Soon ; Lee, Choon-Taek ; Han, Sung Koo ; Shim, Young-Soo ; Yim, Jae-Joon

Chest, 2006-05, Vol.129 (5), p.1253-1258 [Periódico revisado por pares]

Northbrook, IL: Elsevier Inc

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