Abstract
It is well known that screening mammography is a difficult task for radiologists and that screening errors are hard to avoid. Retrospective studies have shown that in current breast cancer screening between 10% and 25% of the tumors are missed by the radiologists [1]. One of the signs that have to be detected in mammograms are masses. Masses can be hard to detect, because they are often partially covered by glandular tissue. Recent work has shown that many of the tumors that are missed by radiologists can be detected by a system that automatically detects masses [2]. A Computer Aided Diagnosis (CAD) system that prompts suspicious regions can draw the attention of the radiologist to a tumor he might otherwise overlook [3], [4].
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© 1998 Springer Science+Business Media Dordrecht
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Te Brake, G.M., Karssemeijer, N. (1998). Comparison of Three Mass Detection Methods. 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_19
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DOI: https://doi.org/10.1007/978-94-011-5318-8_19
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