A mammogram is the best option for early detection of breast cancer,
Computer Aided Diagnostic systems(CADs) developed in order to
improve the diagnosis of mammograms. This paper presents a proposed
method to automatic images segmentation dependin
g on the Otsu's
method in order to detect microcalcifications and mass lesions in
mammogram images. The proposed technique is based on three steps:
(a) region of interest (ROI), (b) 2D wavelet transformation, and (c) OTSU
thresholding application on ROI. The method tested on standard mini-
MIAS database. It implemented within MATLAB software environment.
Experimental results and performance evaluate results show that the
proposed detection algorithm is a tool to help improve the diagnostic
performance, and has the possibility and the ability to detect the breast
lesions.
