Document Detail


Computer-aided Diagnosis: How to Move from the Laboratory to the Clinic.
MedLine Citation:
PMID:  22095995     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Computer-aided diagnosis (CAD), encompassing computer-aided detection and quantification, is an established and rapidly growing field of research. In daily practice, however, most radiologists do not yet use CAD routinely. This article discusses how to move CAD from the laboratory to the clinic. The authors review the principles of CAD for lesion detection and for quantification and illustrate the state-of-the-art with various examples. The requirements that radiologists have for CAD are discussed: sufficient performance, no increase in reading time, seamless workflow integration, regulatory approval, and cost efficiency. Performance is still the major bottleneck for many CAD systems. Novel ways of using CAD, extending the traditional paradigm of displaying markers for a second look, may be the key to using the technology effectively. The most promising strategy to improve CAD is the creation of publicly available databases for training and validation. This can identify the most fruitful new research directions, and provide a platform to combine multiple approaches for a single task to create superior algorithms. © RSNA, 2011.
Authors:
Bram van Ginneken; Cornelia M Schaefer-Prokop; Mathias Prokop
Related Documents :
7584335 - Finding relevant biomolecular features.
22185035 - Issues in defining and applying evidence-based practices criteria for treatment of crim...
18249735 - Statistical active learning in multilayer perceptrons.
21820455 - Tracking problem solving by multivariate pattern analysis and hidden markov model algor...
21533835 - The problem of many hands: climate change as an example.
15463365 - The chemical control of livestock parasites: problems and alternatives.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Radiology     Volume:  261     ISSN:  1527-1315     ISO Abbreviation:  Radiology     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-11-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401260     Medline TA:  Radiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  719-32     Citation Subset:  AIM; IM    
Affiliation:
Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands; Image Sciences Institute and Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands; Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Whole-Body Diffusion-weighted MR Imaging in Cancer: Current Status and Research Directions.
Next Document:  Renal Perfusion 3-T MR Imaging: A Comparative Study of Arterial Spin Labeling and Dynamic Contrast-e...