Paper Info
Title
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances.
Abstract
Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the past 50 years, and its incidence has increased in recent years. Early detection is an effective way to diagnose and manage breast cancer. Computer-aided detection or diagnosis (CAD) systems can play a key role in the early detection of breast cancer and can reduce the death rate among women with breast cancer. The purpose of this paper is to provide an overview of recent advances in the development of CAD systems and related techniques. We begin with a brief introduction to some basic concepts related to breast cancer detection and diagnosis. We then focus on key CAD techniques developed recently for breast cancer, including detection of calcifications, detection of masses, detection of architectural distortion, detection of bilateral asymmetry, image enhancement, and image retrieval.
Year
DOI
Venue
2009
10.1109/TITB.2008.2009441
IEEE Transactions on Information Technology in Biomedicine
Keywords
Field
DocType
computer-aided detection,recent advance,early detection,key cad technique,breast cancer,image retrieval,cancer death,image enhancement,cad system,death rate,breast cancer detection,bioinformatics,artificial intelligence,cancer,image processing,biomedical engineering,statistics
Data science,Mammography,Early detection,Breast cancer,Computer aided detection,Cancer detection,Medical physics,Radiology,Cad system,Medicine,Cancer
Journal
Volume
Issue
ISSN
13
2
1558-0032
Citations 
PageRank 
References 
124
5.05
62
Authors
5
Search Limit
100124
Name
Order
Citations
PageRank
Jinshan Tang153237.57
Rangaraj M. Rangayyan21316113.08
Jun Xu31516.58
Issam El-Naqa452836.31
Yongyi Yang51409140.74