caa a22 4500 463178351 CHVBK 20180406164831.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10278-005-6976-5 doi (NATIONALLICENCE)springer-10.1007/s10278-005-6976-5 Contrast Enhancement in Dense Breast Images to Aid Clustered Microcalcifications Detection [Elektronische Daten] [Fátima Nunes, Homero Schiabel, Claudio Goes] This paper presents a method to provide contrast enhancement in dense breast digitized images, which are difficult cases in testing of computer-aided diagnosis (CAD) schemes. Three techniques were developed, and data from each method were combined to provide a better result in relation to detection of clustered microcalcifications. Results obtained during the tests indicated that, by combining all the developed techniques, it is possible to improve the performance of a processing scheme designed to detect microcalcification clusters. It also allows operators to distinguish some of these structures in low-contrast images, which were not detected via conventional processing before the contrast enhancement. This investigation shows the possibility of improving CAD schemes for better detection of microcalcifications in dense breast images. SCAR (Society for Computer Applications in Radiology), 2007 Image processing nationallicence contrast enhancement nationallicence dense breasts nationallicence microcalcifications nationallicence mammography nationallicence Nunes Fátima Programa de Pós-Graduação em Ciência da Computação, Centro Universitário Eurípides de Marília, Av. Hygino Muzzi Filho, 529-Campus Universitário, 17525-901, Marília, SP, Brazil aut Schiabel Homero Departamento de Engenharia Elétrica, EESC, Universidade de São Paulo, Av. Trabalhador Saocarlense, 400-13566-590, São Carlos, SP, Brazil aut Goes Claudio Departamento de Engenharia Elétrica, EESC, Universidade de São Paulo, Av. Trabalhador Saocarlense, 400-13566-590, São Carlos, SP, Brazil aut Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/1(2007-03-01), 53-66 0897-1889 20:1<53 2007 20 10278 https://doi.org/10.1007/s10278-005-6976-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-005-6976-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nunes Fátima Programa de Pós-Graduação em Ciência da Computação, Centro Universitário Eurípides de Marília, Av. Hygino Muzzi Filho, 529-Campus Universitário, 17525-901, Marília, SP, Brazil aut NATIONALLICENCE 700 1- Schiabel Homero Departamento de Engenharia Elétrica, EESC, Universidade de São Paulo, Av. Trabalhador Saocarlense, 400-13566-590, São Carlos, SP, Brazil aut NATIONALLICENCE 700 1- Goes Claudio Departamento de Engenharia Elétrica, EESC, Universidade de São Paulo, Av. Trabalhador Saocarlense, 400-13566-590, São Carlos, SP, Brazil aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/1(2007-03-01), 53-66 0897-1889 20:1<53 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer