Abstract
This paper proposes the utilization of rough set theory for modeling the medical images to help physicians in diagnosing. The rough set theory is a powerful approach that permits the searching for patterns in medical images using the minimal length principles. Searching for models with small size is performed by means of many different kinds of reducts that generate the decision rules capable for identifying the medical diagnosis.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ion, A.L., Udristoiu, S. (2011). Medical Image Diagnosis Based on Rough Sets Theory. In: Vlad, S., Ciupa, R.V. (eds) International Conference on Advancements of Medicine and Health Care through Technology. IFMBE Proceedings, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22586-4_45
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DOI: https://doi.org/10.1007/978-3-642-22586-4_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22585-7
Online ISBN: 978-3-642-22586-4
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