Article Commentary: Computer-Aided Detection of Breast Cancer — Have All Bases Been Covered?
Author(s) -
Gautam S. Muralidhar,
Tamara Miner Haygood,
T.W. Stephens,
Gary J. Whitman,
Alan C. Bovik,
Mia K. Markey
Publication year - 2008
Publication title -
breast cancer basic and clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.741
H-Index - 23
ISSN - 1178-2234
DOI - 10.4137/bcbcr.s785
Subject(s) - breast cancer , cad , mammography , focus (optics) , computer science , cancer detection , medical physics , computer aided diagnosis , medicine , screening mammography , cancer , engineering drawing , artificial intelligence , engineering , physics , optics
The use of computer-aided detection (CAD) systems in mammography has been the subject of intense research for many years. These systems have been developed with the aim of helping radiologists to detect signs of breast cancer. However, the effectiveness of CAD systems in practice has sparked recent debate. In this commentary, we argue that computer-aided detection will become an increasingly important tool for radiologists in the early detection of breast cancer, but there are some important issues that need to be given greater focus in designing CAD systems if they are to reach their full potential.
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