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PAN, Poland

Sacchetto D.,IM | Morra L.,IM | Agliozzo S.,IM | Bernardi D.,APSS | And 25 more authors.
Journal of Nanoparticle Research | Year: 2015

Objectives: To compare breast density (BD) assessment provided by an automated BD evaluator (ABDE) with that provided by a panel of experienced breast radiologists, on a multivendor dataset. Methods: Twenty-one radiologists assessed 613 screening/diagnostic digital mammograms from nine centers and six different vendors, using the BI-RADS a, b, c, and d density classification. The same mammograms were also evaluated by an ABDE providing the ratio between fibroglandular and total breast area on a continuous scale and, automatically, the BI-RADS score. A panel majority report (PMR) was used as reference standard. Agreement (κ) and accuracy (proportion of cases correctly classified) were calculated for binary (BI-RADS a-b versus c-d) and 4-class classification. Results: While the agreement of individual radiologists with the PMR ranged from κ = 0.483 to κ = 0.885, the ABDE correctly classified 563/613 mammograms (92 %). A substantial agreement for binary classification was found for individual reader pairs (κ = 0.620, standard deviation [SD] = 0.140), individual versus PMR (κ = 0.736, SD = 0.117), and individual versus ABDE (κ = 0.674, SD = 0.095). Agreement between ABDE and PMR was almost perfect (κ = 0.831). Conclusions: The ABDE showed an almost perfect agreement with a 21-radiologist panel in binary BD classification on a multivendor dataset, earning a chance as a reproducible alternative to visual evaluation. Key Points: • Individual BD assessment differs from PMR with κ as low as 0.483. • An ABDE correctly classified 92 % of mammograms with almost perfect agreement (κ = 0.831). • An ABDE can be a valid alternative to subjective BD assessment. © 2015, European Society of Radiology. Source

Rodrigues R.D.,IM | Cruz A.J.D.O.,Federal University of Rio de Janeiro | Cavalcanti R.T.,Federal University of Rio de Janeiro
Studies in Fuzziness and Soft Computing | Year: 2010

This chapter presents and discusses the main characteristics of the new Fuzzy Database Aliança (Alliance). This name represents the fact that the system is the union of fuzzy logic techniques, a database relational management system and a fuzzy meta-knowledge base defined in XML. Aliança accepts a wide range of data types including all information already treated by traditional databases, as well as incorporating different forms of representing fuzzy data. Despite this fact, the system is simple due to the fact that it uses XML to represent meta-knowledge. An additional advantage of using XML is that makes it easy to maintain and understand the structure of imprecise information. Aliança was designed to allow easy upgrading of traditional database systems. The Fuzzy Database Architecture Aliança approximates the interaction with databases to the usual way in which humans reason. © 2010 Springer-Verlag Berlin Heidelberg. Source

Accadia T.,University of Savoy | Acernese F.,National Institute of Nuclear Physics, Italy | Acernese F.,University of Salerno | Antonucci F.,National Institute of Nuclear Physics, Italy | And 227 more authors.
Classical and Quantum Gravity | Year: 2010

Virgo is one of the large, ground-based interferometers aimed at detecting gravitational waves. One of the technical problems limiting its sensitivity is caused by light in the output beams which is backscattered by seismically excited surfaces and couples back into the main beam of the interferometer. The resulting noise was thoroughly studied, measured and mitigated before Virgo's second science run (VSR2). The residual noise during VSR2, which increases in periods with a large microseism activity, is accurately predicted by the theoretical model. The scattered light has been associated with transient events in the gravitational-wave signal of the interferometer. © 2010 IOP Publishing Ltd. Source

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