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Award ID contains: 1557716

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  1. ; (, Young Researcher's Forum (CG Week))
    Although gland curvature features are an important element in current prostate cancer diagnostic tools, they are typically evaluated qualitatively rather than quantitatively. We propose a method of approximating the curvature of prostate gland cross sections by using the nuclei as data points. By investigating the relationship between features of a gland's estimated curvature and its severity of cancer, we show that our curvature estimates may be used as a tool to add a more objective element into the current diagnostic process. 
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