Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and T
DOI: 10.1109/iembs.1999.804296
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Classification of difficult-to-diagnose microcalcifications using fuzzy neural network with convex sets

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“…In this sense, Hall 38 proposed the use of fuzzy rules instead of hard decision rules. Grohman and Dhawan 39 developed a convex-set-based neurofuzzy algorithm for the classification of calcifications. Lee et al 40 used a shape cognitron neural network to analyze the shape of microcalcifications and clusters, and classify them into the malignant or benign category.…”
mentioning
confidence: 99%
“…In this sense, Hall 38 proposed the use of fuzzy rules instead of hard decision rules. Grohman and Dhawan 39 developed a convex-set-based neurofuzzy algorithm for the classification of calcifications. Lee et al 40 used a shape cognitron neural network to analyze the shape of microcalcifications and clusters, and classify them into the malignant or benign category.…”
mentioning
confidence: 99%