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Computers found more accurate than doctors in breast-cancer diagnosis

Computer analyses of breast cancer microscopic images were found more accurate than those conducted by humans, computer scientists at the Stanford School of Engineering and pathologists at the Stanford School of Medicine report. Medical science has long used three specific features for evaluating breast cancer cells: what percentage of the tumor is comprised of tube-like cells, the diversity of the nuclei in the outermost (epithelial) cells of the tumor and the frequency with which those cells divide (a process known as mitosis). These three factors are judged by sight with a microscope and scored qualitatively to stratify breast cancer patients into three groups that predict survival rates. In fact, they discovered that the characteristics of the cancer cells and the surrounding cells, known as the stroma, were both important in predicting patient survival.

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November 10, 2011 November 13, 2011 Kurzweilai Applications MachineLearning NewsFinder Text English HTML

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  1. (sim=0.590) 4285: Computer more accurate than human doctor at breast cancer diagnosis
  2. (sim=0.492) 4297: Image Analysis System Predicts Breast Cancer Survival Based on Stromal and ...

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