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10 results on '"Fauci, F."'

1. Metodo di Template Matching per l'Analisi di Immagini

Author

CASCIO, Donato, FAUCI, Francesco, RASO, Giuseppe, Cascio, D, Fauci, F, and Raso, G

Subjects
Template Matching, pattern recognition, Immunofluorescenza indiretta, bioimmagini, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
Abstract

La presente invenzione si riferisce ad un metodo di Template Matching per l’analisi di immagini da ImmunoFluorescenza Indiretta (IFI) per la rivelazione e classificazione automatica di pattern autoanticorpali. L’invenzione qui presentata generalizza il metodo del Template Matching operando innovativamente il mapping del contenuto visuale dell’immagine con particolari funzioni discrete qui denominate “mappatori”; inoltre, utilizzando le informazioni provenienti dalla sovrapposizione dei vari mappatori con un metodo di confronto funzionale, realizza una funzione di correlazione originale. La metodologia descritta nel seguito presenta una flessibilità tale da renderla applicabile a qualsiasi problema di riconoscimento di oggetti all’interno di immagini digitali e l’applicazione alla ricerca di pattern autoanticorpali in immagini IFI vuole essere solo esemplificativa del metodo e delle sue potenzialità. La presente invenzione è utilizzabile nei vari contesti dell’imaging e si pone come soluzione a problemi di matching computazionalmente complessi, permettendo realizzazioni real time, o comunque riducendo la complessità computazionale.

Published
2012

2. Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus, Medicad) with two commercial systems.

Author

Ciatto S, Cascio D, Fauci F, Magro R, Raso G, Ienzi R, Martinelli F, and Simone MV

Subjects
Algorithms, Female, Humans, Predictive Value of Tests, Sensitivity and Specificity, Breast Neoplasms diagnostic imaging, Diagnosis, Computer-Assisted instrumentation, Mammography methods
Abstract

Purpose: The study compares the diagnostic accuracy (correct identification of cancer) of a new computer-assisted diagnosis (CAD) system (Cyclopus) with two other commercial systems (R2 and CADx)., Materials and Methods: Cyclopus was tested on a set of 120 mammograms on which the two compared commercial systems had been previously tested. The set consisted of mammograms reported as negative, preceding 31 interval cancers reviewed as screening error or minimal sign, and of 89 verified negative controls randomly selected from the same screening database., Results: Cyclopus sensitivity was 74.1% (R2=54.8%; CADx=41.9%) and was higher for interval cancers reviewed as screening error (90.9%; R2=54.5%; CADx=81.8%) compared with those reviewed as minimal sign (65.0%; R2=55.0%; CADx=20.0%). Specificity was 15.7% (R2=29.2%; CADx=17.9%). Overall accuracy was 30.8% (R2=35.8%; CADx=24.1%). The positive predictive value of a case with CAD marks [regions of interest (ROI)] was 23.4% (23/98; R2=16.0%; CADx=15.1%). Average ROI number per view among negative controls was 1.13 (R2=0.93; CADx=0.99). Cyclopus was more sensitive for masses compared with isolated microcalcifications (208 vs 62 ROI; R2=90 vs 213; CADx=192 vs 130)., Conclusions: Compared with two other commercial systems, Cyclopus was more sensitive (R2 p=0.14; CADx p=0.02) and less specific (R2 p=0.02; CADx p=0.64).

Published
2009
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3. MAGIC-5: an Italian mammographic database of digitised images for research.

Author

Tangaro S, Bellotti R, De Carlo F, Gargano G, Lattanzio E, Monno P, Massafra R, Delogu P, Fantacci ME, Retico A, Bazzocchi M, Bagnasco S, Cerello P, Cheran SC, Lopez Torres E, Zanon E, Lauria A, Sodano A, Cascio D, Fauci F, Magro R, Raso G, Ienzi R, Bottigli U, Masala GL, Oliva P, Meloni G, Caricato AP, and Cataldo R

Subjects
Adult, Aged, Female, Humans, Italy, Middle Aged, Radiographic Image Enhancement, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed, Breast Neoplasms diagnostic imaging, Databases, Factual, Mammography methods, Radiographic Image Interpretation, Computer-Assisted methods
Abstract

The implementation of a database of digitised mammograms is discussed. The digitised images were collected beginning in 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals as a first step in developing and implementing a computer-aided detection (CAD) system. All 3,369 mammograms were collected from 967 patients and classified according to lesion type and morphology, breast tissue and pathology type. A dedicated graphical user interface was developed to visualise and process mammograms to support the medical diagnosis directly on a high-resolution screen. The database has been the starting point for developing other medical imaging applications, such as a breast CAD, currently being upgraded and optimised for use in a distributed environment with grid services, in the framework of the Instituto Nazionale di Fisicia Nucleare (INFN)-funded Medical Applications on a Grid Infrastructure Connection (MAGIC)-5 project.

Published
2008
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6. [Relations between brown fat, thermogenesis and obesity].

Author

Chiossi FM, Brunetti O, Lattere M, Alpigiani G, Candela I, Gandullia E, Monteverde R, Lignana E, Delanglade E, and La Fauci F

Subjects
Adolescent, Adult, Animals, Child, Child, Preschool, Female, Humans, Infant, Newborn, Male, Mice, Thermography, Adipose Tissue, Brown physiology, Body Temperature Regulation, Obesity physiopathology
Published
1984

7. [Schmidt's syndrome. Considerations and presentation of a case in childhood].

Author

Chiossi FM, Barocci S, Cinollo G, Gandullia E, Monteverde R, Lattere M, Delanglade E, La Fauci F, Chiossi MG, and Lignana E

Subjects
Antibodies analysis, Child, Preschool, Female, HLA Antigens genetics, Humans, Pedigree, Syndrome, Adrenal Insufficiency immunology, Hypothyroidism immunology
Published
1985

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