2011 | OriginalPaper | Buchkapitel
Medical Image Diagnosis Based on Rough Sets Theory
verfasst von : A. L. Ion, S. Udristoiu
Erschienen in: International Conference on Advancements of Medicine and Health Care through Technology
Verlag: Springer Berlin Heidelberg
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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.