Abstract
We have been developing a computer-aided diagnosis system (CAD) for the detection of masses and clustered microcalcifications on digitized mammograms over the past five years. Hundreds of cases were examined by our system, although the dependency of databases has a great influence to estimate the system performance.
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References
Fujita H, Endo T, Matsubara T, et al. (1995) Automated detection of masses and clustered microcalcifications on mammograms. SPIE 2434, pp 682–692.
Matsubara T, Fujita H, Endo T, et al. (1996) Development of mass detection algorithm based on adaptive thresholding technique in digital mammograms. Digital Mammography’ 96, Elsevier, Amsterdam, pp 391–396.
Hara T, Hirako K, Fujita H, et al. (1996) Automated detection algorithm for clustered microcalcifications based on density gradient and triple-ring filter analysis. Digital Mammography’ 96, Elsevier, Amsterdam, pp 257–262.
Hirako K, Fujita H, Hara T, et al. (1996) Development of detection filter for mammographic microcalcifications: A method based on density gradient and triple-ring filter analysis. Systems and Computers in Japan 27(13) pp 36–48.
Norhayati Ib, Fujita H, Hara T, et al. (1997) Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database. Physics in Medicine and Biology 42(12), pp 2577–2589.
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© 1998 Springer Science+Business Media Dordrecht
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Hara, T., Fujita, H., Endo, T., Iwase, T., Yoshimura, H. (1998). Performance Studies of a Computer-Aided Diagnostic System on 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_66
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DOI: https://doi.org/10.1007/978-94-011-5318-8_66
Publisher Name: Springer, Dordrecht
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