4. Conclusions / Future plans
The results obtained at clinics for radiology in our country have shown a general good use. Future enhancements will be done while trying to increase the collaborative work between local health care organizations in sharing and diagnosing mammogram images, aiding early breast cancer detection. The grid infrastructure provides good platform for this work, and we will focus our efforts to enhance the methods, to consolidate the algorithms and to use the grid for image processing.
Breast cancer as a medical condition, and mammograms as images, are extremely complex with many dimensions of variability across the population. X-ray mammography is the most reliable method available at present for the detection of breast cancer in screening programs, although it still does not detect all cancers.
The proposed algorithm for digital image processing could be used in a breast cancer-screening center in many possible scenarios. The system could be used to pre-screen mammograms and select those areas that need more attention for analysis. The results are expected to improve the accuracy of early breast cancer mammography diagnosis, reduce patient mortality, and reduce health care costs. Therefore it is important to split the mammograms into interesting regions in order to put into focus a technique when we search for abnormalities.
1. Short overview
Computer use by clinicians in digital mammography image screening has advantages over traditional methods: enhancing the appearance of the images and highlighting suspicious areas. In this paper, we present our own algorithm that hierarchically segments the digital mammograms. It consists of two phases: the pre-processing and the processing phase of hierarchical mammograms segmentation. Grid infrastructure capabilities were explored in order to improve the algorithm’s implementation.
Provide a set of generic keywords that define your contribution (e.g. Data Management, Workflows, High Energy Physics)
Digital mammography, Grid infrastructure, Computer-aided detection, algorithm