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 |
|---|
| 2005 | 1 | 0 | 1 |
| 2006 | 2 | 0 | 2 |
| 2007 | 4 | 0 | 4 |
| 2008 | 3 | 0 | 3 |
| 2009 | 5 | 0 | 5 |
| 2010 | 6 | 0 | 6 |
| 2011 | 4 | 2 | 6 |
| 2012 | 7 | 0 | 7 |
| 2013 | 5 | 1 | 6 |
| 2014 | 3 | 2 | 5 |
| 2015 | 3 | 2 | 5 |
| 2016 | 3 | 0 | 3 |
| 2021 | 1 | 0 | 1 |
| 2022 | 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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Quantifying the cell morphology and predicting biological behavior of signet ring cell carcinoma using deep learning. Sci Rep. 2022 Jan 07; 12(1):183.
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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. IEEE Trans Med Imaging. 2021 Sep; 40(9):2403-2414.
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Rapid, noninvasive quantitation of skin disease in systemic sclerosis using optical coherence elastography. J Biomed Opt. 2016 Apr 30; 21(4):46002.
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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans Med Imaging. 2016 May; 35(5):1332-1343.
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Patient-Specific Quantitation of Mitral Valve Strain by Computer Analysis of Three-Dimensional Echocardiography: A Pilot Study. Circ Cardiovasc Imaging. 2016 Jan; 9(1).
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Sparsity techniques in medical imaging. Comput Med Imaging Graph. 2015 Dec; 46 Pt 1(Pt 1):1.
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An efficient conditional random field approach for automatic and interactive neuron segmentation. Med Image Anal. 2016 Jan; 27:31-44.
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A Novel Multiobject Tracking Approach in the Presence of Collision and Division. Comput Math Methods Med. 2015; 2015:695054.
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Melanoma and other skin lesion detection using smart handheld devices. Methods Mol Biol. 2015; 1256:459-96.
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Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.