SELVAN, Arul, SAATCHI, Reza and FERRIS, Christine (2011). Computer aided monitoring of breast abnormalities in X-ray mammograms. In: Medical Image Understanding and Analysis 2011, London, Thursday 14th - Friday 15th July 2011..
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Xray mammography is regarded as the most effective tool for the detection and diagnosis of breast cancer, but the interpretation of mammograms is a difficult and errorprone task. Computeraided detection (CADe) systems address the problem that radiologists often miss signs of cancers that are retrospectively visible in mammograms. Furthermore, computeraided diagnosis (CADx) systems assist the radiologist in the classification of mammographic lesions as benign or malignant. This paper details a novel alternative system namely computeraided monitoring (CAM) system. The designed CAM system can be used to objectively measure the properties of a suspected abnormal area in a mammogram. Thus it can be used to assist the clinician to objectively monitor the abnormality. For instance its response to treatment and consequently its prognosis. The designed CAM system is implemented using the Hierarchical Clustering based Segmentation (HCS)    process. Brief description of the implementation of this CAM system is as follows : Using the approximate location and size of the abnormality, obtained from the user, the HCS process automatically identifies the more appropriate boundaries of the different regions within a region of interest (ROI), centred at the approximate location. From the set of, HCS process segmented, regions the user identifies the regions which most likely represent the abnormality and the healthy areas. Subsequently the CAM system compares the characteristics of the user identified abnormal region with that of the healthy region; to differentiate malignant from benign abnormality. In processing sixteen mammograms from miniMIAS , the designed CAM system demonstrated a success rate of 100% in differentiating malignant from benign abnormalities.
|Item Type:||Conference or Workshop Item (Paper)|
|Research Institute, Centre or Group:||Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory|
|Depositing User:||Arul Selvan|
|Date Deposited:||23 Aug 2011 11:27|
|Last Modified:||23 Aug 2011 12:33|
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