Search results for " Computer Aided Diagnosis."

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Massive Lesions Classification using Features based on Morphological Lesion Differences

2007

Purpose of this work is the development of an automatic classification system which could be useful for radiologists in the investigation of breast cancer. The software has been designed in the framework of the MAGIC-5 collaboration. In the automatic classification system the suspicious regions with high probability to include a lesion are extracted from the image as regions of interest (ROIs). Each ROI is characterized by some features based on morphological lesion differences. Some classifiers as a Feed Forward Neural Network, a K-Nearest Neighbours and a Support Vector Machine are used to distinguish the pathological records from the healthy ones. The results obtained in terms of sensiti…

Neural Networks; K-Nearest Neighbours; Support Vector Machine; Computer Aided DiagnosisSupport Vector MachineSupportVector MachineNeural NetworksComputer Aided DiagnosisK-Nearest NeighboursNeural Networks K-Nearest Neighbours Support Vector Machine Computer Aided Diagnosis.Computer Aided Diagnosis.
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