Abstract
Among breast abnormalities, spiculated lesions are one of the most difficult type of tumor to detect. In this paper, we apply a feature extraction method to generate four feature images for a single mammogram, and then partition every feature image into a series of small square blocks. The four average feature values of each block are considered as an instance describing the block. Finally we use an artificial neural network ensemble method to detect the spiculated lesions. Experiments show that the accuracy of this method is well on digital mammograms.
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© 2005 Springer-Verlag Berlin Heidelberg
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Li, N., Zhou, H., Ling, J., Zhou, Z. (2005). Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_125
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DOI: https://doi.org/10.1007/11427469_125
Publisher Name: Springer, Berlin, Heidelberg
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