A team of researchers at the University of California, San Diego (UCSD) and the Moores UCSD Cancer Center have developed a rapid, automated image screening process to distinguish breast cancer cells from normal cells. The technique, which is based on the density of cells seen on a microscope slide, may eventually lead to better ways for surgeons to determine if they have removed all of the cancer during breast-conserving cancer surgery and cut down on the number of needed second operations.
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