Image Processing, Computer-Assisted
"Image Processing, 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.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
| Descriptor ID |
D007091
|
| MeSH Number(s) |
L01.224.308
|
| Concept/Terms |
Image Reconstruction- Image Reconstruction
- Image Reconstructions
- Reconstruction, Image
- Reconstructions, Image
Image Analysis, Computer-Assisted- Image Analysis, Computer-Assisted
- Image Analysis, Computer Assisted
- Computer-Assisted Image Analysis
- Computer Assisted Image Analysis
- Analysis, Computer-Assisted Image
- Computer-Assisted Image Analyses
- Image Analyses, Computer-Assisted
|
Below are MeSH descriptors whose meaning is more general than "Image Processing, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Processing, Computer-Assisted".
This graph shows the total number of publications written about "Image Processing, Computer-Assisted" by people in this website by year, and whether "Image Processing, 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 |
|---|
| 1994 | 10 | 10 | 20 |
| 1995 | 6 | 9 | 15 |
| 1996 | 8 | 16 | 24 |
| 1997 | 8 | 13 | 21 |
| 1998 | 7 | 16 | 23 |
| 1999 | 8 | 13 | 21 |
| 2000 | 8 | 19 | 27 |
| 2001 | 14 | 17 | 31 |
| 2002 | 6 | 20 | 26 |
| 2003 | 4 | 33 | 37 |
| 2004 | 10 | 32 | 42 |
| 2005 | 15 | 34 | 49 |
| 2006 | 12 | 32 | 44 |
| 2007 | 9 | 26 | 35 |
| 2008 | 18 | 37 | 55 |
| 2009 | 17 | 18 | 35 |
| 2010 | 13 | 35 | 48 |
| 2011 | 12 | 28 | 40 |
| 2012 | 10 | 22 | 32 |
| 2013 | 15 | 20 | 35 |
| 2014 | 8 | 30 | 38 |
| 2015 | 17 | 31 | 48 |
| 2016 | 20 | 19 | 39 |
| 2017 | 21 | 22 | 43 |
| 2018 | 22 | 33 | 55 |
| 2019 | 30 | 19 | 49 |
| 2020 | 20 | 16 | 36 |
| 2021 | 12 | 23 | 35 |
| 2022 | 1 | 17 | 18 |
| 2023 | 4 | 8 | 12 |
| 2024 | 8 | 16 | 24 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging. Radiographics. 2024 Dec; 44(12):e240095.
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SPACe: an open-source, single-cell analysis of Cell Painting data. Nat Commun. 2024 Nov 23; 15(1):10170.
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN). Biomolecules. 2024 Oct 23; 14(11).
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Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies. Sci Rep. 2024 09 09; 14(1):20988.
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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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Correction for partial volume averaging in the quantification of radiopaque nanomaterial-embedded resorbable polymers. Biomed Phys Eng Express. 2024 Aug 12; 10(5).
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AAPM Task Group Report 299: Quality control in multi-energy computed tomography. Med Phys. 2024 Oct; 51(10):7012-7037.
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Landmark-based auto-contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer. J Appl Clin Med Phys. 2024 Sep; 25(9):e14474.
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A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis. Cancer Res. 2024 07 02; 84(13):2060-2072.
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Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers. Med Phys. 2024 Oct; 51(10):7295-7307.