A CAD System for the Detection of Clustered Microcalcification in Digitized Mammogram Film

• Main Author: Hilmi, Noor Aniwati
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2007
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/9749/1/2007%20Bachelor%20-%20A%20CAD%20Ststem%20For%20The%20Detection%20Of%20Clustered%20Microcalcification%20In%20Digitized%20Mammo.pdf; http://utpedia.utp.edu.my/9749/

Cluster of microcalcification in mammograms are an important early sign of breast cancer. This report presents a computer aided diagnosis (CAD) system for the automatic detection of cluster rnicrocalcifications in digitized mammograms. The main objective of this study is to present the approach for microcalcifications detection in mammography image. In literature review author illustrate the techniques used in image processing, segmentation, feature extraction and neural network in detecting rnicrocalcification. The proposed system consists of two main steps. First step is image preprocessing and segmentation in order to improve and enhance the quality of image. Then second step is feature extraction to analyze the image and conclude whether the case is malignant or benign. The programming of the project using MATLAB still need to be improved since it produce the output that did not meet the author expectation especially in feature extraction.