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1940 1
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1942 1
1943 1
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1945 5
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1949 18
1950 25
1951 28
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1953 27
1954 22
1955 27
1956 19
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1958 35
1959 26
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1967 19
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1969 28
1970 42
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1972 40
1973 32
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1975 113
1976 140
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1979 166
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1983 235
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1989 572
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1999 600
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2013 1056
2014 1059
2015 984
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2020 1843
2021 2347
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2023 1749
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37,041 results

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Page 1
Chest X-ray quiz.
Reading M. Reading M. Intensive Crit Care Nurs. 2015 Feb;31(1):65-6. doi: 10.1016/j.iccn.2014.10.001. Intensive Crit Care Nurs. 2015. PMID: 25629120 No abstract available.
[Incidental findings in chest X-rays].
Wielpütz MO, Kauczor HU, Weckbach S. Wielpütz MO, et al. Radiologe. 2017 Apr;57(4):263-269. doi: 10.1007/s00117-017-0230-2. Radiologe. 2017. PMID: 28283729 Review. German.
This is due to the relatively low sensitivity of chest x-rays where few clinically relevant incidental findings are to be expected, as any detectable pathologies will as a rule already be clinically symptomatic. ...This review article therefore describes the …
This is due to the relatively low sensitivity of chest x-rays where few clinically relevant incidental findings are to …
Incidentaloma on preoperative chest X-ray.
López Herrero R, Sánchez Quirós B, Álvarez Fuente E, Román García P. López Herrero R, et al. Rev Esp Anestesiol Reanim (Engl Ed). 2022 Feb;69(2):127. doi: 10.1016/j.redare.2021.03.009. Epub 2022 Feb 12. Rev Esp Anestesiol Reanim (Engl Ed). 2022. PMID: 35168916 No abstract available.
Deep learning for report generation on chest X-ray images.
Ouis MY, A Akhloufi M. Ouis MY, et al. Comput Med Imaging Graph. 2024 Jan;111:102320. doi: 10.1016/j.compmedimag.2023.102320. Epub 2023 Dec 14. Comput Med Imaging Graph. 2024. PMID: 38134726 Review.
Medical imaging, specifically chest X-ray image analysis, is a crucial component of early disease detection and screening in healthcare. Deep learning techniques, such as convolutional neural networks (CNNs), have emerged as powerful tools for computer-aided diagnosis (CAD …
Medical imaging, specifically chest X-ray image analysis, is a crucial component of early disease detection and screening in healthca …
Chest x-ray diagnosis via spatial-channel high-order attention representation learning.
Gao X, Jiang B, Wang X, Huang L, Tu Z. Gao X, et al. Phys Med Biol. 2024 Feb 13;69(4). doi: 10.1088/1361-6560/ad2014. Phys Med Biol. 2024. PMID: 38347732
Objective. Chest x-ray image representation and learning is an important problem in computer-aided diagnostic area. ...This study obtains a more discriminative method for chest x-ray classification and provides a technique for computer-aided diagnosis....
Objective. Chest x-ray image representation and learning is an important problem in computer-aided diagnostic area. ...This study obt …
Patient rotation chest X-rays and the consequences of misinterpretation in paediatric radiology.
Marais J, Venkatakrishna SSB, Calle-Toro JS, Goussard P, Eber E, Andronikou S. Marais J, et al. Paediatr Respir Rev. 2023 Sep;47:41-50. doi: 10.1016/j.prrv.2023.05.003. Epub 2023 May 9. Paediatr Respir Rev. 2023. PMID: 37244797 Review.
BACKGROUND: Patient rotation is common in chest X-rays of neonates. Rotation is present in over half of chest X-rays from the ICU, contributed to by unwillingness of technologists to reposition new-borns for fear of dislodging lines and t …
BACKGROUND: Patient rotation is common in chest X-rays of neonates. Rotation is present in over half of chest …
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification.
Mahapatra D, Bozorgtabar B, Ge Z, Reyes M. Mahapatra D, et al. Med Image Anal. 2024 Apr;93:103075. doi: 10.1016/j.media.2023.103075. Epub 2024 Jan 6. Med Image Anal. 2024. PMID: 38199069
These approaches do not perform optimally when a sample can have multiple disease labels (e.g., in chest X-ray images). We improve upon state-of-the-art multi-label active learning techniques by representing disease labels as graph nodes and use graph attention transformer …
These approaches do not perform optimally when a sample can have multiple disease labels (e.g., in chest X-ray images). We improve up …
Rib segmentation in chest x-ray images based on unsupervised domain adaptation.
Zhao J, Nie Z, Shen J, He J, Yang X. Zhao J, et al. Biomed Phys Eng Express. 2023 Dec 29;10(1). doi: 10.1088/2057-1976/ad1663. Biomed Phys Eng Express. 2023. PMID: 38104347
Rib segmentation in 2D chest x-ray images is a crucial and challenging task. On one hand, chest x-ray images serve as the most prevalent form of medical imaging due to their convenience, affordability, and minimal radiation exposure. ...We utilize digital reconstruc …
Rib segmentation in 2D chest x-ray images is a crucial and challenging task. On one hand, chest x-ray images serve as the most …
What Device is Seen in the Chest X-Ray?
Singh A, Mukati R. Singh A, et al. Ann Card Anaesth. 2024 Apr 1;27(2):180-181. doi: 10.4103/aca.aca_207_23. Epub 2024 Apr 12. Ann Card Anaesth. 2024. PMID: 38607888 Free PMC article. No abstract available.
[Chest X-rays in children and adolescents : Indications and limitations].
Renz DM, Huisinga C, Pfeil A, Böttcher J, Schwerk N, Streitparth F, Weidemann J. Renz DM, et al. Radiologe. 2022 Feb;62(2):140-148. doi: 10.1007/s00117-021-00954-9. Epub 2022 Jan 18. Radiologe. 2022. PMID: 35041027 Free PMC article. Review. German.
CLINICAL ISSUE: Chest X-ray is the most commonly performed X-ray examination in children and adolescents. ...PRACTICAL RECOMMENDATION: Even if the diagnostic performance of chest X-ray examinations is often minor compared to computed tomography or MRI, chest …
CLINICAL ISSUE: Chest X-ray is the most commonly performed X-ray examination in children and adolescents. ...PRACTICAL RECOMMENDATION …
37,041 results
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