Abstract
Mammographic screening is widely used for early detection of breast cancer. Despite the success of screening programs, negative effects should not be underestimated. In many countries, only 15%–40% of detected lesions which are biopsied are subsequently determined malignant. Radiologists might improve their performance, when they could use objective computer-aided diagnosis programs developed with the aim of reducing false positives.
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© 2001 Springer-Verlag Berlin Heidelberg
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Varela, C., Karssemeijer, N., Tahoces, P.G. (2001). Classification of Breast Tumors on Digital Mammograms Using Laws’ Texture Features. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_241
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DOI: https://doi.org/10.1007/3-540-45468-3_241
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