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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1999 | 0 | 1 | 1 |
2003 | 3 | 1 | 4 |
2004 | 1 | 0 | 1 |
2005 | 18 | 1 | 19 |
2006 | 4 | 1 | 5 |
2007 | 6 | 1 | 7 |
2008 | 1 | 6 | 7 |
2009 | 10 | 5 | 15 |
2010 | 10 | 2 | 12 |
2011 | 1 | 7 | 8 |
2012 | 9 | 3 | 12 |
2013 | 7 | 5 | 12 |
2014 | 7 | 3 | 10 |
2015 | 4 | 10 | 14 |
2016 | 10 | 3 | 13 |
2017 | 1 | 6 | 7 |
2018 | 3 | 8 | 11 |
2019 | 1 | 5 | 6 |
2020 | 4 | 6 | 10 |
2021 | 1 | 1 | 2 |
2022 | 0 | 1 | 1 |
2024 | 0 | 5 | 5 |
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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Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE-Based Sequences. AJNR Am J Neuroradiol. 2025 Jun 03; 46(6):1231-1237.
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Brain Microstructure Interrogation by Diffusion Tensor and Kurtosis Imaging in Progressive Supranuclear Palsy Subtypes. J Neuroimaging. 2025 May-Jun; 35(3):e70062.
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Prospective and Retrospective Analysis of Whole-Slide Images of Sentinel and Targeted Lymph Node Frozen Sections in Breast Cancer. Mod Pathol. 2025 Apr; 38(4):100708.
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Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke. AJNR Am J Neuroradiol. 2024 Dec 09; 45(12):1885-1894.
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AI-Assisted Post Contrast Brain MRI: Eighty Percent Reduction in Contrast Dose. Acad Radiol. 2025 Aug; 32(8):4767-4776.
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Weakly Supervised Classification of Mohs Surgical Sections Using Artificial Intelligence. Mod Pathol. 2025 Feb; 38(2):100653.
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Dual PD-L1/SOX10 Immunohistochemistry Combined With Digital Imaging Enhances Stratification Accuracy of Patients With Metastatic Melanoma. Am J Surg Pathol. 2024 Dec 01; 48(12):1551-1556.
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Detecting thyroid nodules along with surrounding tissues and tracking nodules using motion prior in ultrasound videos. Comput Med Imaging Graph. 2024 Oct; 117:102439.
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Multiscale Optical Imaging Fusion for Cervical Precancer Diagnosis: Integrating Widefield Colposcopy and High-Resolution Endomicroscopy. IEEE Trans Biomed Eng. 2024 09; 71(9):2547-2556.
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Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements. Magn Reson Med. 2024 Dec; 92(6):2506-2519.