Algorithm Help Search for Cancer Cells


Uploaded by Essinova on March 8, 2011

Ulysses Balis, M.D. and Jason Hipp, M.D., Ph.D. of University of Michigan demonstrate a pattern-matching algorithm aimed at making the analysis of cell and tissue samples better, faster and simpler. Here they demonstrate the extremely flexible program, known as Spatially Invariant Vector Quantization (SIVQ), by using it to search for patches of grass outside the National Institutes of Health in a Google Map image.

Tags: pathology, cell analysis, tissue sample, Spatially Invariant Vector Quantization (SIVQ), University of Michigan


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