Influence of the Surrounded Tissue in the Detection of Microcalcifications Using Wavelets

Daniel Ruiz Fernandez, Juan Jose Galiana-Merino, Manuela B. Pacheco Lloret

Details

Category

Contributed papers (Oral)

Theme

10. Healthcare Information Systems; Telemedicine

Sessions

08:30 - 10:00 | Wed 26 Aug | Amber 6 | 10.2

Computer-aided Decision Making

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.

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