L. Ballerini and L. Franzén (Sweden)
Medical image analysis, breast cancer, granulometry,math ematical morphology, neural network
This paper presents an application to a medical problem of methods of image analysis based on mathematical mor phology. The medical problem consists the detection of abnormalities in microscopic images of breast tissue. We propose a new method for the automatic discrimination of cancerous tissue from normal tissue. The method is based on granulometries, which are size-shape descriptors widely used in mathematical morphology. Applications of granu lometries lead to distribution functions whose moments are used as input of a neural network classifier to discriminate different tissues. The technique is illustrated with the anal ysis of some images of breast tissue.
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