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
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MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.313.500.750.100.158.600
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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
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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 | 0 | 1 | 1 | 2004 | 6 | 1 | 7 | 2005 | 5 | 2 | 7 | 2006 | 9 | 2 | 11 | 2007 | 7 | 3 | 10 | 2008 | 5 | 6 | 11 | 2009 | 10 | 4 | 14 | 2010 | 10 | 4 | 14 | 2011 | 7 | 4 | 11 | 2012 | 8 | 8 | 16 | 2013 | 8 | 2 | 10 | 2014 | 8 | 4 | 12 | 2015 | 5 | 4 | 9 | 2016 | 6 | 6 | 12 | 2017 | 7 | 5 | 12 | 2018 | 5 | 2 | 7 | 2019 | 5 | 4 | 9 | 2020 | 3 | 2 | 5 | 2021 | 2 | 1 | 3 | 2022 | 0 | 1 | 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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Medina S, Ihrie RA, Irish JM. Learning cell identity in immunology, neuroscience, and cancer. Semin Immunopathol. 2023 Jan; 45(1):3-16.
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Fletcher E, Gavett B, Crane P, Soldan A, Hohman T, Farias S, Widaman K, Groot C, Renteria MA, Zahodne L, DeCarli C, Mungas D. A robust brain signature region approach for episodic memory performance in older adults. Brain. 2021 05 07; 144(4):1089-1102.
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Dunn KW, Molitoris BA, Dagher PC. The Indiana O'Brien Center for Advanced Renal Microscopic Analysis. Am J Physiol Renal Physiol. 2021 05 01; 320(5):F671-F682.
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Naresh NK, Malone L, Fujiwara T, Smith S, Lu Q, Twite MD, DiMaria MV, Fonseca BM, Browne LP, Barker AJ. Use of compressed sensing to reduce scan time and breath-holding for cardiac cine balanced steady-state free precession magnetic resonance imaging in children and young adults. Pediatr Radiol. 2021 Jun; 51(7):1192-1201.
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Tognetti L, Bonechi S, Andreini P, Bianchini M, Scarselli F, Cevenini G, Moscarella E, Farnetani F, Longo C, Lallas A, Carrera C, Puig S, Tiodorovic D, Perrot JL, Pellacani G, Argenziano G, Cinotti E, Cataldo G, Balistreri A, Mecocci A, Gori M, Rubegni P, Cartocci A. A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi. J Dermatol Sci. 2021 Feb; 101(2):115-122.
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Copelan AZ, Smith ER, Drocton GT, Narsinh KH, Murph D, Khangura RS, Hartley ZJ, Abla AA, Dillon WP, Dowd CF, Higashida RT, Halbach VV, Hetts SW, Cooke DL, Keenan K, Nelson J, Mccoy D, Ciano M, Amans MR. Recent Administration of Iodinated Contrast Renders Core Infarct Estimation Inaccurate Using RAPID Software. AJNR Am J Neuroradiol. 2020 12; 41(12):2235-2242.
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Potigailo V, Kohli A, Pakpoor J, Cain DW, Passi N, Mohsen N. Recent Advances in Computed Tomography and MR Imaging. PET Clin. 2020 Oct; 15(4):381-402.
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Hatabu H, Ohno Y, Gefter WB, Parraga G, Madore B, Lee KS, Altes TA, Lynch DA, Mayo JR, Seo JB, Wild JM, van Beek EJR, Schiebler ML, Kauczor HU. Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper. Radiology. 2020 Nov; 297(2):286-301.
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Kohoutov? L, Heo J, Cha S, Lee S, Moon T, Wager TD, Woo CW. Toward a unified framework for interpreting machine-learning models in neuroimaging. Nat Protoc. 2020 04; 15(4):1399-1435.
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Walsh SLF, Humphries SM, Wells AU, Brown KK. Imaging research in fibrotic lung disease; applying deep learning to unsolved problems. Lancet Respir Med. 2020 11; 8(11):1144-1153.
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