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 |
|---|
| 2004 | 0 | 1 | 1 |
| 2007 | 0 | 1 | 1 |
| 2008 | 1 | 0 | 1 |
| 2009 | 1 | 0 | 1 |
| 2010 | 2 | 3 | 5 |
| 2011 | 1 | 2 | 3 |
| 2012 | 3 | 2 | 5 |
| 2013 | 1 | 1 | 2 |
| 2014 | 1 | 2 | 3 |
| 2015 | 1 | 0 | 1 |
| 2016 | 7 | 4 | 11 |
| 2017 | 38 | 49 | 87 |
| 2018 | 52 | 35 | 87 |
| 2019 | 17 | 14 | 31 |
| 2020 | 6 | 0 | 6 |
| 2021 | 3 | 2 | 5 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. IEEE Trans Neural Netw Learn Syst. 2021 09; 32(9):3786-3797.
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The utility of digital pathology in improving the diagnostic skills of pathology trainees in commonly encountered pigmented cutaneous lesions during the COVID-19 pandemic: A single academic institution experience. Ann Diagn Pathol. 2021 Oct; 54:151807.
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Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study. J Med Internet Res. 2021 07 16; 23(7):e26995.
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4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Trans Neural Netw Learn Syst. 2021 07; 32(7):2798-2808.
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Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks. IEEE Trans Ultrason Ferroelectr Freq Control. 2021 07; 68(7):2507-2515.
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Investigation of perfusion defects by Q-SPECT/CT in patients with mild-to-moderate course of COVID-19 and low clinical probability for pulmonary embolism. Ann Nucl Med. 2021 Oct; 35(10):1117-1125.
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From Glass-Time to Screen-Time: A Pathology Resident's Experience With Digital Sign-Out During the Coronavirus 2019 Pandemic. Arch Pathol Lab Med. 2021 06 01; 145(6):644-645.
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Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. IEEE Trans Ultrason Ferroelectr Freq Control. 2021 06; 68(6):2023-2037.
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Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization. IEEE J Transl Eng Health Med. 2021; 9:1800209.
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Rapid Validation of Whole-Slide Imaging for Primary Histopathology Diagnosis. Am J Clin Pathol. 2021 04 26; 155(5):638-648.