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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1995 | 1 | 0 | 1 |
1999 | 0 | 1 | 1 |
2003 | 5 | 3 | 8 |
2004 | 5 | 1 | 6 |
2005 | 30 | 7 | 37 |
2006 | 8 | 1 | 9 |
2007 | 17 | 5 | 22 |
2008 | 11 | 13 | 24 |
2009 | 15 | 10 | 25 |
2010 | 16 | 6 | 22 |
2011 | 4 | 7 | 11 |
2012 | 15 | 10 | 25 |
2013 | 12 | 10 | 22 |
2014 | 15 | 7 | 22 |
2015 | 14 | 13 | 27 |
2016 | 13 | 8 | 21 |
2017 | 2 | 7 | 9 |
2018 | 7 | 12 | 19 |
2019 | 3 | 8 | 11 |
2020 | 4 | 8 | 12 |
2021 | 4 | 1 | 5 |
2022 | 1 | 1 | 2 |
2024 | 0 | 5 | 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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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 Sep; 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.
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Interreader and Intrareader Reproducibility of 18F-Flotufolastat Image Interpretation in Patients with Newly Diagnosed or Recurrent Prostate Cancer: Data from Two Phase 3 Prospective Multicenter Studies. J Nucl Med. 2024 Aug 01; 65(8):1239-1243.
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Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology. Hum Pathol. 2024 04; 146:75-85.
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Scattering angle resolved optical coherence tomography measures morphological changes in Bacillus subtilis colonies. J Biomed Opt. 2022 12; 27(12):126004.
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Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology. Arch Pathol Lab Med. 2022 04 01; 146(4):440-450.
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Machine Learning and Deep Learning in Oncologic Imaging: Potential Hurdles, Opportunities for Improvement, and Solutions-Abdominal Imagers' Perspective. J Comput Assist Tomogr. 2021 Nov-Dec 01; 45(6):805-811.
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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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Ensuring Adequate Development and Appropriate Use of Artificial Intelligence in Pediatric Medical Imaging. AJR Am J Roentgenol. 2022 01; 218(1):182-183.