title: Influence of the surrounded tissue in the detection of microcalcifications using wavelets.
abstract: Breast cancer is the most common cancer in women. Many clinical decision support systems aimed to help in the diagnosis of breast cancer have been developed because an early diagnosis is fundamental to improve the results of the treatment. Most of the developments are aimed to detect microcalcifications using the same system and parameters for all the mammograms without considering any other characteristic of the breast. In this paper we introduce the type of tissue in the breast as an element that can affect the selection of the right algorithm to improve the detection rates. We adapt the system setup depending on the type of tissue improving the results of the aid system.
authors.forename: Daniel
authors.initials: D
authors.lastname: Ruiz-Fernandez
authors.forename: Juan
authors.initials: J
authors.lastname: Jose Galiana-Merino
authors.forename: Manuela B
authors.initials: MB
authors.lastname: Pacheco Lloret
mesh_terms: D000465:Algorithms; D001940:Breast / Q000473:pathology; D001941:Breast Diseases / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging; D002114:Calcinosis / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008327:Mammography / Q000379:methods*; D058067:Wavelet Analysis