2005
DOI: 10.1259/bjr/37646417
|View full text |Cite
|
Sign up to set email alerts
|

Use of computer-aided detection (CAD) tools in screening mammography: a multidisciplinary investigation

Abstract: This is the unspecified version of the paper.This version of the publication may differ from the final published version. Permanent repository link SHORTENED VERSION OF THE TITLE:Multidisciplinary study of CAD use in mammography FUNDING:The work described in this paper has been partly funded by the UK Engineering and Physical Sciences Research Council (EPSRC) through DIRC, the Dependability Interdisciplinary Research Collaboration, a project investigating the dependability of computer based systems. KEYWORDS:… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

2
35
0
1

Year Published

2009
2009
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 37 publications
(38 citation statements)
references
References 23 publications
2
35
0
1
Order By: Relevance
“…Many of the considerations we present originate from a case study we conducted in the area of CAD for breast cancer screening [35][36][37][38][39][40]. In breast screening, expert clinicians ("readers") examine mammograms (X-ray images of a woman's breasts), and decide whether the patient should be "recalled" for further tests because they suspect cancer.…”
Section: A Case Study: Computer Aided Detection (Cad) For Mammographymentioning
confidence: 99%
See 4 more Smart Citations
“…Many of the considerations we present originate from a case study we conducted in the area of CAD for breast cancer screening [35][36][37][38][39][40]. In breast screening, expert clinicians ("readers") examine mammograms (X-ray images of a woman's breasts), and decide whether the patient should be "recalled" for further tests because they suspect cancer.…”
Section: A Case Study: Computer Aided Detection (Cad) For Mammographymentioning
confidence: 99%
“…Our analyses indicated instead that, although CAD reduced decision errors by some readers on some cases, it also increased errors by some readers on some cases. In short, this simple computerassisted task hid subtle effects, easy to miss by designers and assessors [37]. Figure 1 shows a graphical representation of cause-effect chains involved in "errors of omission", as an incomplete but complex account of "automation bias".…”
Section: A Case Study: Computer Aided Detection (Cad) For Mammographymentioning
confidence: 99%
See 3 more Smart Citations