 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
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| MeSH Number(s) |
L01.224.308
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| 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
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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 |
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| 1994 | 1 | 3 | 4 | | 1995 | 1 | 2 | 3 | | 1996 | 2 | 4 | 6 | | 1997 | 5 | 11 | 16 | | 1998 | 4 | 9 | 13 | | 1999 | 1 | 7 | 8 | | 2000 | 3 | 11 | 14 | | 2001 | 0 | 7 | 7 | | 2002 | 2 | 5 | 7 | | 2003 | 6 | 8 | 14 | | 2004 | 4 | 19 | 23 | | 2005 | 10 | 14 | 24 | | 2006 | 4 | 11 | 15 | | 2007 | 10 | 17 | 27 | | 2008 | 6 | 15 | 21 | | 2009 | 4 | 18 | 22 | | 2010 | 3 | 20 | 23 | | 2011 | 4 | 12 | 16 | | 2012 | 4 | 20 | 24 | | 2013 | 9 | 18 | 27 | | 2014 | 10 | 16 | 26 | | 2015 | 10 | 18 | 28 | | 2016 | 11 | 16 | 27 | | 2017 | 12 | 20 | 32 | | 2018 | 13 | 10 | 23 | | 2019 | 14 | 11 | 25 | | 2020 | 8 | 8 | 16 | | 2021 | 12 | 5 | 17 | | 2022 | 4 | 1 | 5 | | 2023 | 4 | 5 | 9 | | 2024 | 0 | 4 | 4 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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Folts L, Martinez AS, McKey J. Tissue clearing and imaging approaches for in toto analysis of the reproductive system?. Biol Reprod. 2024 Jun 12; 110(6):1041-1054.
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Yang X, Chin BB, Silosky M, Wehrend J, Litwiller DV, Ghosh D, Xing F. Learning Without Real Data Annotations to Detect Hepatic Lesions in PET Images. IEEE Trans Biomed Eng. 2024 Feb; 71(2):679-688.
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Egemen D, Perkins RB, Cheung LC, Befano B, Rodriguez AC, Desai K, Lemay A, Ahmed SR, Antani S, Jeronimo J, Wentzensen N, Kalpathy-Cramer J, De Sanjose S, Schiffman M. Artificial intelligence-based image analysis in clinical testing: lessons from cervical cancer screening. J Natl Cancer Inst. 2024 01 10; 116(1):26-33.
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Mastronarde DN. Accurate, automatic determination of astigmatism and phase with Ctfplotter in IMOD. J Struct Biol. 2024 03; 216(1):108057.
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Graham S, Vu QD, Jahanifar M, Weigert M, Schmidt U, Zhang W, Zhang J, Yang S, Xiang J, Wang X, Rumberger JL, Baumann E, Hirsch P, Liu L, Hong C, Aviles-Rivero AI, Jain A, Ahn H, Hong Y, Azzuni H, Xu M, Yaqub M, Blache MC, Pi?gu B, Vernay B, Scherr T, B?hland M, L?ffler K, Li J, Ying W, Wang C, Snead D, Raza SEA, Minhas F, Rajpoot NM. CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Med Image Anal. 2024 Feb; 92:103047.
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Hoebel KV, Bridge CP, Kim A, Gerstner ER, Ly IK, Deng F, DeSalvo MN, Dietrich J, Huang R, Huang SY, Pomerantz SR, Vagvala S, Rosen BR, Kalpathy-Cramer J. Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts. Acad Radiol. 2024 04; 31(4):1572-1582.
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Norris EC, Schneider G, Clark TJ, Kirchin MA, Wilson GJ, Maki JH. Efficacy of Whole-Blood Model of Gadolinium-Based Contrast Agent Relaxivity in Predicting Vascular MR Signal Intensity In Vivo. J Magn Reson Imaging. 2024 Aug; 60(2):615-627.
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Liu J, Xing F, Shaikh A, French B, Linguraru MG, Porras AR. Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. IEEE Trans Med Imaging. 2023 10; 42(10):3117-3126.
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Xing F, Yang X, Cornish TC, Ghosh D. Learning with limited target data to detect cells in cross-modality images. Med Image Anal. 2023 12; 90:102969.
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Ahmadian M, Rickert C, Minic A, Wrobel J, Bitler BG, Xing F, Angelo M, Hsieh EWY, Ghosh D, Jordan KR. A platform-independent framework for phenotyping of multiplex tissue imaging data. PLoS Comput Biol. 2023 09; 19(9):e1011432.
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