Women's Health Weekly
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Breast Cancer
Studies from K. Horsch and co-researchers yield new data on breast cancer
January 1st, 2009
"Our goal was to investigate the effects of changes that the prevalence of cancer in a population have on the probability of malignancy (PM) output and an optimal combination of a true-positive fraction (TPF) and a false-positive fraction (FPF) of a mammographic and sonographic automatic classifier for the diagnosis of breast cancer. We investigate how it prevalence-scaling transformation that is used to change the prevalence inherent in the computer estimates of the PM affects the numerical and histographic output of a previously developed multimodality intelligent workstation," scientists writing in the journal Academic Radiology report. "Using Bayes' rule and...
Source: Women's Health Weekly (2009-01-01)
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