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A diagnostic system is presented that employs morphometry combinedwith a fuzzy neural network approach, for the discrimination of benign frommalignant gastric lesions. The input to the system consists of images ofroutine processed gastric smears stained by Papanicolaou technique. Theanalysis of the images provided a data set of cell features. The fuzzy minmaxneural network classifier, an efficient pattern recognition approach,was used to classify benign and malignant cells based on the...

Cytological Diagnosis Based on Fuzzy Neural Networks