Diagnosis, Computer-Assisted
"Diagnosis, 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.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
| Descriptor ID |
D003936
|
| MeSH Number(s) |
E01.158 L01.313.500.750.100.158
|
| Concept/Terms |
Diagnosis, Computer-Assisted- Diagnosis, Computer-Assisted
- Diagnosis, Computer Assisted
- Computer-Assisted Diagnosis
- Computer Assisted Diagnosis
- Computer-Assisted Diagnoses
- Diagnoses, Computer-Assisted
|
Below are MeSH descriptors whose meaning is more general than "Diagnosis, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Diagnosis, Computer-Assisted".
This graph shows the total number of publications written about "Diagnosis, Computer-Assisted" by people in this website by year, and whether "Diagnosis, 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 |
|---|
| 2002 | 0 | 1 | 1 |
| 2003 | 0 | 1 | 1 |
| 2004 | 2 | 0 | 2 |
| 2005 | 3 | 0 | 3 |
| 2006 | 1 | 0 | 1 |
| 2007 | 2 | 0 | 2 |
| 2008 | 1 | 0 | 1 |
| 2009 | 0 | 1 | 1 |
| 2011 | 1 | 0 | 1 |
| 2012 | 2 | 0 | 2 |
| 2013 | 1 | 0 | 1 |
| 2014 | 1 | 0 | 1 |
| 2016 | 2 | 1 | 3 |
| 2019 | 1 | 0 | 1 |
| 2021 | 1 | 0 | 1 |
| 2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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Harris C, Okorie U, Makrogiannis S. Spatially localized sparse approximations of deep features for breast mass characterization. Math Biosci Eng. 2023 08 01; 20(9):15859-15882.
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Hao W, Zhao L, Yu X, Wu S, Xie W, Wang N, Lv W, Sood A, Leng S, Li Y, Sun Q, Guan J, Han W. A Simple Clinical Prediction Tool for COVID-19 in Primary Care with Epidemiology: Temperature-Leukocytes-CT Results. Med Sci Monit. 2021 Oct 06; 27:e931467.
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Huang X, Sun W, Tseng TB, Li C, Qian W. Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. Comput Med Imaging Graph. 2019 06; 74:25-36.
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Liu CH, Boydston-White S, Weisberg A, Wang W, Sordillo LA, Perotte A, Tomaselli VP, Sordillo PP, Pei Z, Shi L, Alfano RR. Vulnerable atherosclerotic plaque detection by resonance Raman spectroscopy. J Biomed Opt. 2016 12 01; 21(12):127006.
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Sun W, Tseng TB, Zhang J, Qian W. Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. Comput Med Imaging Graph. 2017 04; 57:4-9.
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Kalkstein S, Scott JC, Biester R, Brownlow JA, Harpaz-Rotem I, Gur RC. Comparison of blast-exposed OEF/OIF veterans with and without a history of TBI symptoms on a brief computerized neuropsychological battery. Appl Neuropsychol Adult. 2017 Jan-Feb; 24(1):92-97.
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Gellert KS, Rautaharju P, Snyder ML, Whitsel EA, Matsushita K, Heiss G, Soliman EZ. Short-term repeatability of electrocardiographic Tpeak-Tend and QT intervals. J Electrocardiol. 2014 May-Jun; 47(3):356-61.
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Masilamani V, Alsalhi MS, Devanesan S, Atif M, Rabah D, Farhat K, Pu Y, Alfano RR. A parallelism between spectral grading and Gleason grading of malignant prostate tissues. Photodiagnosis Photodyn Ther. 2013 May; 10(2):168-72.
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Pu Y, Wang W, Yang Y, Alfano RR. Stokes shift spectroscopy highlights differences of cancerous and normal human tissues. Opt Lett. 2012 Aug 15; 37(16):3360-2.
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Pretty IA, McGrady M, Zakian C, Ellwood RP, Taylor A, Sharif MO, Iafolla T, Martinez-Mier EA, Srisilapanan P, Korwanich N, Goodwin M, Dye BA. Quantitative light fluorescence (QLF) and polarized white light (PWL) assessments of dental fluorosis in an epidemiological setting. BMC Public Health. 2012 May 20; 12:366.