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The <jats:italic>top-hat<\/jats:italic> transform is a technique based on mathematical morphology operations and, in this paper, is used to perform contrast enhancement of the mi-crocalcifications. To improve microcalcification detection, a novel <jats:italic>image sub-segmentation<\/jats:italic> approach based on the <jats:italic>possibilistic fuzzy c-means<\/jats:italic> algorithm is used. From the original ROIs, window-based features, such as the mean and standard deviation, were extracted; these features were used as an input vector in a classifier. The classifier is based on an <jats:italic>artificial neural network<\/jats:italic> to identify patterns belonging to microcalcifications and healthy tissue. Our results show that the proposed method is a good alternative for automatically detecting microcalcifications, because this stage is an important part of early breast cancer detection.<\/jats:p>","DOI":"10.1186\/1687-6180-2011-91","type":"journal-article","created":{"date-parts":[[2011,10,25]],"date-time":"2011-10-25T06:25:55Z","timestamp":1319523955000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks"],"prefix":"10.1186","volume":"2011","author":[{"given":"Joel","family":"Quintanilla-Dom\u00ednguez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjam\u00edn","family":"Ojeda-Maga\u00f1a","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexis","family":"Marcano-Cede\u00f1o","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda G","family":"Cortina-Januchs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Vega-Corona","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Andina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,10,24]]},"reference":[{"issue":"13-15","key":"88_CR1","doi-asserted-by":"publisher","first-page":"2625","DOI":"10.1016\/j.neucom.2007.06.015","volume":"71","author":"N Pal","year":"2008","unstructured":"Pal N, Bhowmick B, Patel S, Pal S, Das J: A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms. 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