 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 |
|---|
| 1999 | 0 | 1 | 1 | | 2001 | 0 | 1 | 1 | | 2004 | 6 | 1 | 7 | | 2005 | 4 | 1 | 5 | | 2006 | 9 | 3 | 12 | | 2007 | 6 | 3 | 9 | | 2008 | 3 | 5 | 8 | | 2009 | 11 | 2 | 13 | | 2010 | 7 | 3 | 10 | | 2011 | 8 | 3 | 11 | | 2012 | 8 | 11 | 19 | | 2013 | 12 | 2 | 14 | | 2014 | 7 | 6 | 13 | | 2015 | 8 | 7 | 15 | | 2016 | 13 | 8 | 21 | | 2017 | 9 | 6 | 15 | | 2018 | 6 | 6 | 12 | | 2019 | 6 | 4 | 10 | | 2020 | 4 | 1 | 5 | | 2021 | 4 | 1 | 5 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 1 | 1 | | 2024 | 0 | 7 | 7 | | 2025 | 4 | 3 | 7 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Nguyen C, Hulsey G, James K, James T, Carlson JM. Deep Learning Classification of Prostate Cancer Using MRI Histopathologic Data. Radiol Imaging Cancer. 2025 Sep; 7(5):e240381.
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Hsu WC, Wang Y, Wu YF, Chen R, Afyouni S, Liu J, Vin S, Shi V, Imami M, Chotiyanonta JS, Zandieh G, Cai Y, Leal JP, Oishi K, Zaheer A, Ward RC, Zhang PJL, Wu J, Jiao Z, Kamel IR, Lin G, Bai HX. MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study. Radiology. 2025 Aug; 316(2):e243412.
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Miller JH, Lefkowitz D, Maulsby G, Mechtler L, Pinter N, Snyder T, Hayes L, Carpenter J, Koral K, Cornejo P, Levendovszky SR, Warntjes JBM, Johansson P, Lange E. Neuroimaging Reader Study on Clinical Sensitivity and Specificity Using Synthetic MRI Based on MR Quantification. AJNR Am J Neuroradiol. 2025 Jun 03; 46(6):1196-1202.
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Nguyen DT, Imami M, Zhao LM, Wu J, Borhani A, Mohseni A, Khunte M, Zhong Z, Shi V, Yao S, Wang Y, Loizou N, Silva AC, Zhang PJ, Zhang Z, Jiao Z, Kamel I, Liao WH, Bai H. Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset. J Magn Reson Imaging. 2025 Sep; 62(3):814-824.
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Ahmed SR, Befano B, Egemen D, Rodriguez AC, Desai KT, Jeronimo J, Ajenifuja KO, Clark C, Perkins R, Campos NG, Inturrisi F, Wentzensen N, Han P, Guillen D, Norman J, Goldstein AT, Madeleine MM, Donastorg Y, Schiffman M, de Sanjose S, Kalpathy-Cramer J. Generalizable deep neural networks for image quality classification of cervical images. Sci Rep. 2025 Feb 21; 15(1):6312.
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Tompkins RM, Fujiwara T, Schrauben EM, Browne LP, van Schuppen J, Clur SA, Friesen RM, Englund EK, Barker AJ, van Ooij P. Third trimester fetal 4D flow MRI with motion correction. Magn Reson Med. 2025 May; 93(5):1969-1983.
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Naga Karthik E, Valo?ek J, Smith AC, Pfyffer D, Schading-Sassenhausen S, Farner L, Weber KA, Freund P, Cohen-Adad J. SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans. Radiol Artif Intell. 2025 01; 7(1):e240005.
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Shankar N, Kreiger PA, Oldridge DA, Picarsic J, Arnold MA. Digital Pathology and Artificial Intelligence in Pediatric Pathology. Surg Pathol Clin. 2025 Jun; 18(2):397-406.
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Fujiwara T, Malone LJ, Chatfield KC, Berthusen A, Fonseca B, Browne LP, Barker AJ. Assessment of abnormal transvalvular flow and wall shear stress direction for pediatric/young adults with bicuspid aortic valve: A cross-sectional four-dimensional flow study. J Cardiovasc Magn Reson. 2024; 26(2):101102.
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Buelo CJ, Velikina J, Mao L, Zhao R, Yuan Q, Ghasabeh MA, Ruschke S, Karampinos DC, Harris DT, Mattison RJ, Jeng MR, Pedrosa I, Kamel IR, Vasanawala S, Yokoo T, Reeder SB, Hernando D. Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5?T and 3?T. Magn Reson Med. 2025 Jan; 93(1):330-340.
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