 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
|
| MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.700.508.100.158.600
|
| 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
|
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 |
|---|
| 1987 | 1 | 0 | 1 | | 1988 | 4 | 1 | 5 | | 1990 | 4 | 0 | 4 | | 1993 | 1 | 1 | 2 | | 1994 | 1 | 0 | 1 | | 1995 | 3 | 1 | 4 | | 1997 | 1 | 1 | 2 | | 1998 | 1 | 0 | 1 | | 1999 | 0 | 1 | 1 | | 2000 | 1 | 0 | 1 | | 2001 | 1 | 0 | 1 | | 2002 | 2 | 0 | 2 | | 2003 | 3 | 3 | 6 | | 2004 | 7 | 0 | 7 | | 2005 | 12 | 4 | 16 | | 2006 | 22 | 1 | 23 | | 2007 | 16 | 9 | 25 | | 2008 | 14 | 7 | 21 | | 2009 | 20 | 8 | 28 | | 2010 | 16 | 13 | 29 | | 2011 | 12 | 9 | 21 | | 2012 | 16 | 5 | 21 | | 2013 | 14 | 14 | 28 | | 2014 | 15 | 6 | 21 | | 2015 | 16 | 10 | 26 | | 2016 | 9 | 10 | 19 | | 2017 | 8 | 8 | 16 | | 2018 | 8 | 5 | 13 | | 2019 | 5 | 7 | 12 | | 2020 | 2 | 3 | 5 | | 2021 | 4 | 1 | 5 |
To return to the timeline, click here.
Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
-
Hu Q, Giger ML. Clinical Artificial Intelligence Applications: Breast Imaging. Radiol Clin North Am. 2021 Nov; 59(6):1027-1043.
-
Edelman RR, Leloudas N, Pang J, Koktzoglou I. Dark blood cardiovascular magnetic resonance of the heart, great vessels, and lungs using electrocardiographic-gated three-dimensional unbalanced steady-state free precession. J Cardiovasc Magn Reson. 2021 11 01; 23(1):127.
-
Easley TO, Ren Z, Kim B, Karczmar GS, Barber RF, Pineda FD. Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI. PLoS One. 2021; 16(10):e0258621.
-
Krause J, Grabsch HI, Kloor M, Jendrusch M, Echle A, Buelow RD, Boor P, Luedde T, Brinker TJ, Trautwein C, Pearson AT, Quirke P, Jenniskens J, Offermans K, van den Brandt PA, Kather JN. Deep learning detects genetic alterations in cancer histology generated by adversarial networks. J Pathol. 2021 05; 254(1):70-79.
-
Yamashita R, Long J, Longacre T, Peng L, Berry G, Martin B, Higgins J, Rubin DL, Shen J. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study. Lancet Oncol. 2021 01; 22(1):132-141.
-
Lang RM, Addetia K, Miyoshi T, Kebed K, Blitz A, Schreckenberg M, Hitschrich N, Mor-Avi V, Asch FM. Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change? J Am Soc Echocardiogr. 2021 04; 34(4):443-445.
-
Jiang Y, Edwards AV, Newstead GM. Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. Radiology. 2021 01; 298(1):38-46.
-
Hu Q, Whitney HM, Giger ML. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536.
-
El Naqa I, Haider MA, Giger ML, Ten Haken RK. Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century. Br J Radiol. 2020 Feb 01; 93(1106):20190855.
-
Koktzoglou I, Huang R, Ong AL, Aouad PJ, Aherne EA, Edelman RR. Feasibility of a sub-3-minute imaging strategy for ungated quiescent interval slice-selective MRA of the extracranial carotid arteries using radial k-space sampling and deep learning-based image processing. Magn Reson Med. 2020 08; 84(2):825-837.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|