0000000000647385

AUTHOR

Rosario Magro

showing 5 related works from this author

UN APPROCCIO GRID NELL’ANALISI E NELLA RICERCA DI LESIONI IN UN DATABASE DI IMMAGINI MAMMOGRAFICHE DISTRIBUITE

2005

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Fast Fourier Transform Filtering for Bilateral Mammography Comparison

2010

Bilateral Asymmetry is one of the breast abnormalities that may indicate a cancer in early stage. The computer methods for the bilateral subtraction developed up to now show the problem of large false positives number because the alignment defects. On the other hand the computer methods using FFT approach suffer of a low S/N ratio to distinguish massive lesions from background. In this paper a method (FFT-RF-BMC) is presented to enhanche the bilateral asymmetry using a FFT to detect massive lesions through a Recursive Filtering.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore FIS/01 - Fisica SperimentaleCAD mammography FFT Bilateral Mammography Comparison Computer ApplicationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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METODO AUTOMATICO PER LA RIVELAZIONE PRECOCE DI ZONE TUMORALI IN IMMAGINI BIOMEDICHE

2006

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METHOD FOR PROCESSING BIOMEDICAL IMAGES

2007

The present invention relates to a method for highlight and to diagnose regions of interest in biomedical radiographic images, useful in the context of a CAD tool processing operating as recond reader during the normal clinical and screening routine, so to reducing the costs of management of the "double reading" procedure.

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Dissimilarity Application for Medical Imaging Classification

2005

In the traditional way of learning from examples of objects the classifiers are built in a feature space. However, alternative ways can be found by constructing decision rules on dissimilarity (distance) representations. In such a recognition process a new object is described by its distances to (a subset of) die training samples. The use of the dissimilarities is especially of interest when features are difficult to obtain or when they have a little discriminative power. 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 col…

Breast cancerDissimilarityComputer assisted diagnosiComputer aided diagnosimammographyCo-occurrence matrixMedical image processingimage segmentationNeural network
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