FEATURE EXTRACTION FOR COMPUTER-AIDED ANALYSIS OF MAMMOGRAMS

Feature Extraction for Computer-Aided Analysis of Mammograms

A framework for computer-aided analysis of mammograms is described. General computer vision algorithms are combined with application specific procedures in a hierarchical fashion. The system is under development and is currently limited to detection of a few types of suspicious areas. The image features are extracted by using feature extraction methods where wavelet techniques are utilized. A l...

Feature Extraction of Mammograms

Breast cancer is the second leading cause of cancer deaths in women today. Early detection of the cancer can reduce mortality rate. Studies have shown that radiologists can miss the detection of a significant proportion of abnormalities in addition to having high rates of false positives. Pattern recognition in image processing requires the extraction of features from regions of the image and t...

Computer-aided Diagnostic Systems for Digital Mammograms

ii ACKNOWLEDGEMENTS I feel privileged to have had the opportunity to work on this project. I would like to thank Dr. Tyler for serving as my advisor as well as Drs. Priya Vashishta, Rajiv Kalia, and Aiichiro Nakano for their support, encouragement and advice. I would like to sincerely thank Dr. serving on my thesis committee. I would like to thank my mother Verna Lee for her help in preparing t...

Computer-aided Diagnosis of Screen Film Mammograms

Computer Aided Detection of Abnormalities in Mammograms

A system that automatically identifies suspicious regions in mammograms could be useful to radiologists by drawing attention to abnormalities that may otherwise have been overlooked. Two detection algorithms are described; one based on the combination of evidence from multiple cue generators and the other based on fuzzy pyramid linking. The latter algorithm proved to be the more effective for l...