Mass detection and false positive reduction in mammographic images
Man To Wong · UTS ePRESS (University of Technology Sydney) · 2015
ImagesBreast cancer is the most common type of cancer for women in America.Currently the most effective method for early detection of breast cancer is mammography.Mammography is the only widely accepted imaging method used for routine breast cancer screening.Masses are one of the important signs of breast cancer.However it is difficult to detect masses because masses have different size and shape and their features can be obscured or similar to the normal breast parenchyma.Reading mammograms is a demanding job for radiologists.A computer aided detection (CAD) system can provide a consistent second opinion to a radiologist and greatly improve the mass detection accuracy.In this thesis, a computer aided detection system is developed which can segment the breast region from the background in the whole mammographic image, detect the suspicious regions from the breast region and then classify the suspicious regions to mass or normal breast tissue.The suspicious regions in the full mammographic image