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Independent component analysis applied to breast cancer detection on digitized mammograms (2005) PDF
 Titulo:Independent component analysis applied to breast cancer detection on digitized mammograms 
 Autores:R. Gallardo-Caballero, C.J. García-Orellana, M. Macías-Macías, H.M. González-Velasco, F.J. López-Aligué
 Tipo:Oral
 Congreso:19th International Congress and Exhibition CARS 2005
 Publicación:International Congress Series No. 1281 (ISBN: 0-444-51872-X, ISSN: 0531-5131)
 Lugar: Berlin (Alemania)
 Año:2005
 Abstract:In this work we evaluate the possibilities of Independent Component Analysis (ICA) in conjunction with neural networks with the purpose of finding a set of right parameters which lead to an efficient detection of malignant microcalcification clusters (MCCs) on digitized mammograms. Also, as a part of the ICA process, we aim to state the best window size and component number to be used in the working mammograms with a pixel size of 43.5 μm.