0000000000670982

AUTHOR

M. Vasile

showing 6 related works from this author

Una Comunità di Chatbot per i Beni Culturali

2005

L'intuizione occupa un ruolo fondamentale nella capacità di ragionamento degli esseri umani. L'obiettivo del lavoro è la progettazione di un'infrastruttura in grado di fornire informazioni che oltre ad appoggiarsi ad un insieme di conoscenze basato su regole sia dotata anche di capacità intuitive. A tal fine è presentato un sistema preliminare che rappresenta il primo passo verso la realizzazione di tale infrastruttura. Il sistema permette ad un utente di interagire con una comunità di chat-bot aventi competenze specifiche in modo da navigare in uno spazio concettuale generato automaticamente con il paradigma di analisi della semantica latente (LSA). La base di conoscenza di ciascun chat-bo…

Human-Computer Interaction; Chat-bots; Conceptual and Semantic spaces; LSA; Cultural Heritage
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A fourier-based algorithm for micro-calcification enhancement in mammographic images

2008

Breast cancer is the most widespread cancer in women in the world; it manifests mostly in two forms: microcalcifications and massive lesions. These two forms differ in density, size, shape and number. Consequently, there are two different kinds of mammographic CAD algorithms: those for microcalcifications detection, and those for massive lesions detection. The microcalcifications detection is a hard task, since they are quite small and often poorly contrasted against the background, especially in images affected by digitization noise. In a CAD system the ROI Hunter plays an important role, because missed microcalcifications at this level are definitely lost. For this reason, highlighting me…

medicine.diagnostic_testComputer scienceMicrocalcificationsCancerMicrocalcificationmedicine.diseaseFouriersymbols.namesakeFourier transformBreast cancerImage preprocessingBreast CancermedicineMedical imagingsymbolsMammographyHard taskCAD systemAlgorithmMammographicMammographic imageCalcification2008 IEEE Nuclear Science Symposium Conference Record
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A method to reduce the FP/imm number through CC and MLO views comparison in mammographic images

2008

In this paper we propose a method to reduce the FP/imm number through CC and MLO mammographic views comparison of the same patient. The proposed solution uses the symmetry properties of the breast to compute a geometric transformation that permits to represent the two images in comparable coordinates systems. Through this method, potential pathological ROIs of one of the projections are correlated with the ROIs in the second view. To show the effectiveness of the result we apply the method on a dataset composed of 112 couples of pathological images. Experiments shows that method enables a reduction by up to 700/0 of the FP/imm number detected after the classification step

Breast tissueData setbusiness.industryPathological imageGeometric transformationPattern recognitionSymmetry propertiesReduction (complexity)CorrelationMedical imagingMedicineArtificial intelligenceNuclear medicinebusinessGeometric transformationImage resolutionTransformation geometryMammographicMammographic image2008 IEEE Nuclear Science Symposium Conference Record
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COMPUTER ASSISTED DIAGNOSIS (CAD) IN MAMMOGRAPHY. COMPARISON OF DIAGNOSTIC ACCURACY OF A NEW ALGORITHM (CYCLOPUS®, MEDICAD) WITH TWO COMMERCIAL SYSTE…

2008

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A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems

2005

In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution

LSAInformation RetrievalLSA Query Expansion Information RetrievalQuery Expansion
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Dissimilarity Application in Digitized Mammographic Images Classification.

2006

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 traditional way of learning from examples of objects the classifiers are built in a feature space. However, an 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) the training samples. The use of the dissimilarities is especially of interest when features are difficult to obtain or when they have a little discrim…

DissimilarityBreast CancerNeural NetworkCooccurrence matrixComputer Aided Detection.
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