|
|
| Research article summary (published 24 Sep 2002): |
Computer-aided detection and diagnosis at the start of the third millennium.
Full Abstract
Computer-aided diagnosis has been under development for more than 3 decades. The rate of progress appears exponential, with either recent approval or pending approval for devices focusing on mammography, chest radiographs, and chest CT. Related technologies improve diagnosis for many other types of medical images including virtual colonography, vascular imaging, as well as automated quantitation of image-derived metrics. A variety of techniques are currently employed with success, likely reflecting the variety of imagery used, as well as the variety of tasks. Most areas of medical imaging have had efforts at computer assistance, and some have even received FDA approval and can be reimbursed. We anticipate that the rapid advance of these technologies will continue, and that application will broaden to cover much of medical imaging. Acceptance of, and integration of computer-aided diagnosis technology with the electronic radiology practice is a current challenge. These challenges will be overcome, and we expect that computer-aided diagnosis will be routinely applied to medical images.
Learn Faster Today Improve your study skills
Author information
Author/s: Erickson, Bradley J (BJ); Bartholmai, Brian (B);
Affiliation: Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. bje(-atsign-)mayo.edu
Journal and publication information
Publication Type: Journal Article; Review
Journal: Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology (J Digit Imaging), published in United States. (Language: eng)
Reference: 2002-Jun; vol 15 (issue 2) : pp 59-68
Dates: Created 2002/11/26; Completed 2003/02/26; Revised 2005/11/16;
PMID: 12297976, status: MEDLINE (last retrieval date: 12/26/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
External Links for this article (including full text providers, if available):
Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.
This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.
MeSH headings (categories)
This article was linked to the MESH Headings shown below.
Related articles
These are the highest related articles currently in the database:
- Detection sensitivity of a commercial lung nodule CAD system in a series of pathologically proven lung cancers.
30 Jan 2008 - Computer-aided diagnosis of the airways: beyond nodule detection.
29 Apr 2008 - [Computer-aided detection of lung nodules on thin collimation MDCT: impact on radiologists' performance]
30 Mar 2007 - A hybrid fuzzy-neural system for computer-aided diagnosis of ultrasound kidney images using prominent features.
30 Jan 2008 - Content-based retrieval of mammograms using visual features related to breast density patterns.
20 Feb 2007 - Lung metastases detection in CT images using 3D template matching.
27 Feb 2007 - Computer-aided detection for CT colonography: update 2007.
30 Aug 2007 - Detection of flow limitation in obstructive sleep apnea with an artificial neural network.
3 Sep 2007 - Bilateral analysis based false positive reduction for computer-aided mass detection.
30 Jul 2007 - A dual-stage method for lesion segmentation on digital mammograms.
30 Oct 2007
Related Article Map
Legend:
- FREE Full text Article.
- Abstract only.
- Title only. More help.
See a large map of 100+ related articles.