Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks

DOI10.1016/J.SIGPRO.2007.01.004zbMath1186.94141DBLPjournals/sigpro/HalkiotisBR07OpenAlexW2037920251WikidataQ57443971 ScholiaQ57443971MaRDI QIDQ970871

Taxiarchis Botsis, Stelios Halkiotis, Maria Rangoussi

Publication date: 19 May 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2007.01.004

zbMATH Keywords

dynamicsneural networksradial basis function networksmathematical morphologymicrocalcificationsmulti-layer perceptronmammography

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

A novel soft cluster neural network for the classification of suspicious areas in digital mammograms ⋮ Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter ⋮ Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region ⋮ An automatic method to enhance microcalcifications using normalized Tsallis entropy

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