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 |
|---|
| 1998 | 1 | 0 | 1 |
| 2003 | 1 | 0 | 1 |
| 2004 | 1 | 0 | 1 |
| 2005 | 0 | 2 | 2 |
| 2006 | 3 | 0 | 3 |
| 2007 | 1 | 0 | 1 |
| 2008 | 1 | 1 | 2 |
| 2009 | 2 | 0 | 2 |
| 2010 | 1 | 2 | 3 |
| 2011 | 0 | 2 | 2 |
| 2012 | 1 | 0 | 1 |
| 2013 | 1 | 1 | 2 |
| 2015 | 0 | 1 | 1 |
| 2017 | 2 | 1 | 3 |
| 2019 | 0 | 1 | 1 |
| 2025 | 1 | 0 | 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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Robust Visual Identification of Under-resourced Dermatological Diagnoses with Classifier-Steered Background Masking. AMIA Annu Symp Proc. 2024; 2024:368-377.
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Automated 3-Dimensional Magnetic Resonance Imaging Allows for Accurate Evaluation of Glenoid Bone Loss Compared With 3-Dimensional Computed Tomography. Arthroscopy. 2019 03; 35(3):734-740.
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Optimal Fat Suppression in Head and Neck MRI: Comparison of Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral Presaturation and Inversion Recovery, and STIR. AJNR Am J Neuroradiol. 2018 Feb; 39(2):362-368.
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Spatial geometric and magnetic resonance signal intensity changes with advancing stages of nucleus pulposus degeneration. BMC Musculoskelet Disord. 2017 Nov 21; 18(1):473.
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Reliability and Utility of Manual and Automated Estimates of Total Intracranial Volume. J Int Neuropsychol Soc. 2018 02; 24(2):206-211.
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Two step Gaussian mixture model approach to characterize white matter disease based on distributional changes. J Neurosci Methods. 2016 09 01; 270:156-164.
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Quantitative Analysis of Dynamic 123I-mIBG SPECT Imaging Data in Healthy Humans with a Population-Based Metabolite Correction Method. J Nucl Med. 2016 08; 57(8):1226-32.
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Ligamentum flavum hypertrophy in asymptomatic and chronic low back pain subjects. PLoS One. 2015; 10(5):e0128321.
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Magnetic resonance imaging/ultrasound-fusion biopsy significantly upgrades prostate cancer versus systematic 12-core transrectal ultrasound biopsy. Eur Urol. 2013 Nov; 64(5):713-719.
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Ex vivo MR volumetry of human brain hemispheres. Magn Reson Med. 2014 Jan; 71(1):364-74.