Abstract
Image transforms used to preprocess mammogram images and highly selective microcalcification feature extraction are analyzed in this paper. It is demonstrated that the results obtained by the proposed method (especially at high true positive rates) exceed the specificity levels of other measures for which FROC analysis is provided using the same public (Nijmegen) database.
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© 1999 Springer-Verlag Berlin Heidelberg
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Csapodi, M., Petrányi, Á., Liszka, G., Zarándy, Á., Roska, T. (1999). Noise Estimation and Measures for Detection of Clustered Microcalcifications. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_38
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DOI: https://doi.org/10.1007/3-540-48714-X_38
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