Abstract
A computer-aided diagnosis platform has been developed in our laboratory for automatic detection of microcalcifications and opacities in mammograms. A complete description of the method has been given in previous articles [1]–[3]. In the present work, we report on the evaluation of results which were obtained for two mammography databases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
J. Diahi, C. Frouge, A. Giron, and B. Fertil, “Artificial neural networks for detection of breast cancer in mammography,” in Digital mammography’ 96, K. Doi, M. L. Giger, R. M. Nishikawa, and R. A. Schmidt, Eds. Amsterdam: Elsevier, 1996, pp. 329–334.
J. Diahi, C. Frouge, and B. Fertil, “Artificial neural networks in mammography for the diagnosis of breast cancer. I. detection of clustered microcalcifications,” presented at Neurap 96, 8th International conference on Artificial neural Networks and their applications, Marseille, France, 1996.
J. Diahi, PHD thesis, “Analyse de Mammographies par Techniques Neuromimétiques: Détection Automatiques des Microcalcifications et des Opacités Circonscrites,” Informatique Médicale department. Paris 5 University, 1997.
D. H. Davies, “Digital mammography — the comparative evaluation of film digitizers,” Brit. J. Radiol., vol. 66, pp. 930–933, 1993.
N. Karssemeijer, “Adaptive Noise Equalization and Image Analysis in Mammography,” presented at Information Processing in Medical Imaging — 13th International Conference IPMI’93, Arizona, USA, 1993.
N. Karssemeijer, “Adaptive Noise Equalization and recognition of microcalcification clusters in mammograms,” in State of the art in Digital Mammographic Image Analysis, K. W. B. S. Astley, Ed. London: World Scientific, 1994, pp. 148–166.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Diahi, J.G., Giron, A., Brahmi, D., Frouge, C., Fertil, B. (1998). Evaluation of a Neural Network Classifier for Detection of Microcalcifications and Opacities in Digital 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_24
Download citation
DOI: https://doi.org/10.1007/978-94-011-5318-8_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6234-3
Online ISBN: 978-94-011-5318-8
eBook Packages: Springer Book Archive