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Prostate cancer accounts for one-third of noncutaneous cancers diagnosed in US men, and it is a leading cause of cancer-related death. Advances in Fourier transform infrared spectroscopy of stained tissue is now able to provide very large data sets describing the chemical properties of the cells forming the prostate tissue. Uniting spectroscopic imaging data and computeraided diagnoses (CADx), we seek to provide a new approach to pathology by automating the recognition of cancer in complexdoi:10.1007/s11047-007-9056-6 fatcat:6rumjgyervd6lgqe2vigjbn24y