Computer-aided detection (CAD) with full-field digital mammography (FFDM) for breast cancer screening
Record ID 32015000323
English
Authors' objectives:
Computer-aided detection (CAD) for breast cancer screening involves the use of computer-based algorithms to identify potentially malignant abnormalities in radiographic images, which may help to reduce mortality. The goals of using CAD are to minimize false-positives that lead to unnecessary diagnostic testing and to minimize false-negatives that put patients at risk when malignant lesions are missed or identified as benign.
Details
Project Status:
Completed
Year Published:
2014
URL for published report:
The report may be purchased from: http://www.hayesinc.com/hayes/htareports/directory/computer-aided-detection-cad-with-full-field-digital-mammography-ffdm-for-breast-cancer-screening/
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
United States
MeSH Terms
- Breast Neoplasms
- Mammography
- Sensitivity and Specificity
- Female
- Radiographic Image Interpretation, Computer-Assisted
- Mass Screening
- Predictive Value of Tests
Contact
Organisation Name:
HAYES, Inc.
Contact Address:
157 S. Broad Street, Suite 200, Lansdale, PA 19446, USA. Tel: 215 855 0615; Fax: 215 855 5218
Contact Name:
saleinfo@hayesinc.com
Contact Email:
saleinfo@hayesinc.com
Copyright:
2014 Winifred S. Hayes, Inc
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.