Detection of cluster of microcalcifications based on watershed segmentation algorithm
| Autor: | Mario Molinara, L. Bonomo, S. Schiano lo Moriello, C. Aragno, Claudio Marrocco, P. Rinaldi, A. Ferrarotti, Francesco Tortorella |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Contextual image classification
medicine.diagnostic_test business.industry Computer science Heuristic (computer science) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image segmentation Object detection ComputingMethodologies_PATTERNRECOGNITION medicine Mammography Segmentation Artificial intelligence AdaBoost business Cluster analysis |
| Zdroj: | CBMS |
| Popis: | The presence of clusters of microcalcifications in mammograms is particularly significant for early detection of breast cancer. In this paper a Computer Aided Detection system designed for this task is described. The detection of microcalcifications is performed by means of a segmentation based on a watershed transform and a further analysis based both on heuristic rules and AdaBoost classification. Finally a clustering algorithm is applied to detect those clusters of medical interest. The approach has been successfully tested on a Full Field Digital Mammographic database that has been developed through a strong cooperation between radiologists and computer scientists. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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