Modern Breast Cancer Detection: A Technological Review
Author(s) -
A Nover,
Shami Jagtap,
Waqas Anjum,
Hakki Yegingil,
Wan Y. Shih,
WeiHeng Shih,
Ari D. Brooks
Publication year - 2009
Publication title -
international journal of biomedical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.626
H-Index - 41
eISSN - 1687-4196
pISSN - 1687-4188
DOI - 10.1155/2009/902326
Subject(s) - breast cancer , data science , key (lock) , field (mathematics) , computer science , cancer detection , cancer , state of art , state (computer science) , medicine , computer security , mathematics , algorithm , pure mathematics
Breast cancer is a serious threat worldwide and is the number two killer of women in the United States. The key to successful management is screening and early detection. What follows is a description of the state of the art in screening and detection for breast cancer as well as a discussion of new and emerging technologies. This paper aims to serve as a starting point for those who are not acquainted with this growing field.
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