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 |
|---|
| 1995 | 1 | 6 | 7 |
| 1996 | 5 | 7 | 12 |
| 1997 | 4 | 7 | 11 |
| 1998 | 1 | 5 | 6 |
| 1999 | 3 | 4 | 7 |
| 2000 | 4 | 4 | 8 |
| 2001 | 2 | 5 | 7 |
| 2002 | 0 | 9 | 9 |
| 2003 | 2 | 14 | 16 |
| 2004 | 7 | 15 | 22 |
| 2005 | 2 | 13 | 15 |
| 2006 | 4 | 16 | 20 |
| 2007 | 4 | 13 | 17 |
| 2008 | 2 | 12 | 14 |
| 2009 | 7 | 10 | 17 |
| 2010 | 7 | 10 | 17 |
| 2011 | 8 | 15 | 23 |
| 2012 | 5 | 12 | 17 |
| 2013 | 7 | 10 | 17 |
| 2014 | 7 | 23 | 30 |
| 2015 | 7 | 24 | 31 |
| 2016 | 10 | 11 | 21 |
| 2017 | 2 | 12 | 14 |
| 2018 | 4 | 18 | 22 |
| 2019 | 8 | 10 | 18 |
| 2020 | 6 | 12 | 18 |
| 2021 | 4 | 11 | 15 |
| 2022 | 0 | 6 | 6 |
| 2023 | 0 | 8 | 8 |
| 2024 | 5 | 7 | 12 |
| 2025 | 4 | 3 | 7 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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SST-DUNet: Smart Swin Transformer and Dense UNet for automated preclinical fMRI skull stripping. J Neurosci Methods. 2025 Nov; 423:110545.
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nat Commun. 2025 Jul 08; 16(1):6274.
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Multimodal optical coherence tomography and two-photon light sheet fluorescence microscopy for embryo imaging. J Biomed Opt. 2025 06; 30(6):060501.
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Convolutional Neural Networks Enable Direct Strain Estimation in Quasistatic Optical Coherence Elastography. J Biophotonics. 2025 07; 18(7):e202400386.
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A deep learning model for multiclass tooth segmentation on cone-beam computed tomography scans. Am J Orthod Dentofacial Orthop. 2025 Aug; 168(2):191-198.
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Visible light polarization-sensitive optical coherence tomography with balanced detection. J Biomed Opt. 2025 03; 30(3):036002.
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AI integrations with lung cancer screening: Considerations in developing AI in a public health setting. Eur J Cancer. 2025 May 02; 220:115345.
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Real-time CBCT imaging and motion tracking via a single arbitrarily-angled x-ray projection by a joint dynamic reconstruction and motion estimation (DREME) framework. Phys Med Biol. 2025 Jan 21; 70(2).
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Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing. J Immunother Cancer. 2025 Jan 08; 13(1).
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Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard. Phys Med. 2025 Jan; 129:104862.