Abstract
Routine screening mammography for the early detection of breast cancer in women over the age of 50 is now widespread in many countries including Australia. The introduction of these screening programs has stimulated research into computer systems which may assist radiologists examining these mammogram images.
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Nishikawa RM, Doi K, Giger ML, Schmidt RA, Vyborny CJ, Monnier-Cholley L, Papaioannou J, Lu P (1995) Computerized detection of clustered micro calcifications: Evaluation of performance on mammograms from multiple centers. Radiographics 15, pp 443–452
Strickland RN, Hahn HI (1996) Wavelet transforms for detecting micro calcifications in mammograms, IEEE Trans. Medical Imaging 15, pp 218–229.
Netsch T (1996) A scale-space approach for the detection of clustered microcalcifications in digital mammograms. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 301–306.
Guillemet H, Benali H, Kahn E, Di Paola R (1996) Detection and characterization of micro calcifications in digital mammography. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 225–230.
Karssemeijer N (1993) Adaptive noise equalization and recognition of microcalcifcations clusters in mammograms. IJPRAI 7, pp 1357–1376.
Bijaoui A, Rui F (1995) A multiscale vision model adapted to the astronomical images. Signal Processing 46, pp 345–362.
Ema T, Doi K, Nishikawa RM, Jiang Y, Papaioannou J (1995) Image feature analysis and computer-aided diagnosis in mammography: Reduction of false-positive clustered microcalcifications using local edge-gradient analysis. Medical Physics 22, pp 161–169.
Mascio LN, Hernandez JM, Logan CM (1993) Automated analysis for micro calcifications in high resolution digital mammograms. Proc. SPIE 1898, pp 472–479.
Kegelmeyer WP, Pruneda JM, Bourland PD, Hillis A, Riggs MW, Nipper ML (1994) Computer-aided mammographic screening for spiculated lesions. Radiology 191, pp 331–337.
Karssemeijer N, te Brake GM (1996) Detection of stellate distortions in mammograms. IEEE Trans. Medical Imaging 15, pp 611–619.
Zhang M, Gigier ML, Vyborny CJ, Doi K (1996) Mammographic texture analysis for the detection of spiculated lesions. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 347–350.
Kobatake H, Yoshinaga Y (1996) Detection of spicules on mammogram based on skeleton analysis. IEEE Trans. Medical Imaging 15, pp 235–245.
Suckling J, Parker J, Dance DR, Astley S, Hutt I, Boggis CRM, Ricketts I, Stamatakis E, Cerneaz N, Kok SL, Taylor P, Betal D, Savage J (1994) The mammo-graphic image analysis society digital mammogram database. In: AG Gale et al(eds.), Digital Mammography, Elsevier, Amsterdam, pp 375–378.
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© 1998 Springer Science+Business Media Dordrecht
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Brown, S., Li, R., Brandt, L., Wilson, L., Kossoff, G., Kossoff, M. (1998). Development of a Multi-Feature Cad System for Mammography. 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_30
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DOI: https://doi.org/10.1007/978-94-011-5318-8_30
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