0000000000628649

AUTHOR

G.l. Masala

showing 3 related works from this author

Superior Performances of the Neural Network on the Masses Lesions Classification through Morphological Lesion Differences

2007

Purpose of this work is to develop an automatic classification system that could be useful for radiologists in the breast cancer investigation. The software has been designed in the framework of the MAGIC-5 collaboration. In an 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 generally on morphological lesion differences. A study in the space features representation is made and some classifiers are tested to distinguish the pathological regions from the healthy ones. The results provided in terms of sensitivity and specificity will be p…

Computer Aided DetectionSupport Vector MachineNeural NetworksK-Nearest Neighbours
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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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FLUXEN portable equipment for direct X-ray spectra measurements

2004

Abstract The proper use of imaging equipment in radiological units is based on an appropriate knowledge of the physical characteristics of the X-ray beam used. The FLUXEN PROJECT is working on a portable apparatus which, together with dedicated software, is able to perform an exact spectral reconstruction of the radiation produced in diagnostic X-ray tubes. The apparatus characterizes the energy spectrum of radiological tubes and also provides a measurement of the emitted flux. The acquisition system is based on a commercial CZT detector (3×3×2 mm 3 ), produced by AMPTEK, cooled by a Peltier cell, with a high efficiency in the diagnostic X-ray energy range and modified in the shaping electr…

PhysicsNuclear and High Energy PhysicsRange (particle radiation)X-ray spectraX ray spectrographs X rays air kerma CZTbusiness.industryRadiationSignalSpectral lineCZTOpticsSoftwareX-ray spectra; direct measurement; CZTElectronicsdirect measurementbusinessInstrumentationBeam (structure)Energy (signal processing)
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