Image Interpretation, Computer-Assisted
"Image Interpretation, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
Descriptor ID |
D007090
|
MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.313.500.750.100.158.600
|
Concept/Terms |
Image Interpretation, Computer-Assisted- Image Interpretation, Computer-Assisted
- Computer-Assisted Image Interpretation
- Computer-Assisted Image Interpretations
- Image Interpretations, Computer-Assisted
- Interpretation, Computer-Assisted Image
- Interpretations, Computer-Assisted Image
- Image Interpretation, Computer Assisted
|
Below are MeSH descriptors whose meaning is more general than "Image Interpretation, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Image Interpretation, Computer-Assisted" by people in this website by year, and whether "Image Interpretation, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
Year | Major Topic | Minor Topic | Total |
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1998 | 1 | 0 | 1 |
2003 | 1 | 1 | 2 |
2004 | 3 | 0 | 3 |
2005 | 1 | 2 | 3 |
2006 | 6 | 3 | 9 |
2007 | 8 | 2 | 10 |
2008 | 7 | 6 | 13 |
2009 | 3 | 3 | 6 |
2010 | 4 | 3 | 7 |
2011 | 7 | 6 | 13 |
2012 | 8 | 8 | 16 |
2013 | 7 | 3 | 10 |
2014 | 5 | 7 | 12 |
2015 | 5 | 5 | 10 |
2016 | 3 | 4 | 7 |
2017 | 3 | 2 | 5 |
2018 | 5 | 1 | 6 |
2019 | 4 | 2 | 6 |
2020 | 1 | 3 | 4 |
2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Compressed sensing acceleration of cardiac cine imaging allows reliable and reproducible assessment of volumetric and functional parameters of the left and right atrium. Eur Radiol. 2021 Oct; 31(10):7219-7230.
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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers. Cancer Res. 2021 02 15; 81(4):1171-1177.
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White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study. Brain. 2020 08 01; 143(8):2454-2473.
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Validation of machine learning models to detect amyloid pathologies across institutions. Acta Neuropathol Commun. 2020 04 28; 8(1):59.
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Speckle-Tracking Echocardiography Enables Model-Based Identification of Regional Stiffness Indices in the Left Ventricular Myocardium. Cardiovasc Eng Technol. 2020 04; 11(2):176-187.
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The white matter connectome as an individualized biomarker of language impairment in temporal lobe epilepsy. Neuroimage Clin. 2020; 25:102125.
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Echocardiographic Assessment of Pericardial Effusion Size: Time for a Quantitative Approach. J Am Soc Echocardiogr. 2019 12; 32(12):1615-1617.e1.
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017. J Am Acad Dermatol. 2020 Mar; 82(3):622-627.
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Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging. JACC Cardiovasc Imaging. 2019 08; 12(8 Pt 1):1591-1593.
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Digital imaging applications and informatics in dermatology. Semin Cutan Med Surg. 2019 Mar 01; 38(1):E43-E48.