Abstract
Different image processing algorithms, developed for the same purpose by different researchers, may now be compared by testing them on identical images from any of several annotated public domain databases of digitized mammograms. This paper considers the allied problem of variation in the performance of a specific algorithm on images from two different public domain databases: MIAS [1] and UCSF/LLNL [2].
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© 1998 Springer Science+Business Media Dordrecht
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Chandrasekhar, R., Attikiouzel, Y. (1998). The Need to Standardize and Calibrate Databases of Digitized Mammograms. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_92
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DOI: https://doi.org/10.1007/978-94-011-5318-8_92
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