Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project | Zendy

Amel Benammar Elgaaïed | Zendy; Donato Cascio | Zendy; Salvatore Bruno | Zendy; Maria Cristina Ciaccio | Zendy; Marco Cipolla | Zendy; Alessandro Fauci | Zendy; Rossella Morgante | Zendy; Vincenzo Taormina | Zendy; Yousr Gorgi | Zendy; Raja Marrakchi | Zendy; Mélika Ben Ahmed | Zendy; Hechmi Louzir | Zendy; Sadok Yalaoui | Zendy; I. Sfar | Zendy; Yassine Issaoui | Zendy; Ahmed Abidi | Zendy; Myriam Ammar | Zendy; Walid Bedhiafi | Zendy; Oussama Ben Fraj | Zendy; R. Bouhaha | Zendy; Khouloud Hamdi | Zendy; Koudhi Soumaya | Zendy; Bilel Neili | Zendy; Asma Gati | Zendy; Mariano Lucchese | Zendy; Maria Catanzaro | Zendy; Vincenza Barbara | Zendy; Ignazio Brusca | Zendy; Maria Fregapane | Zendy; Gaetano Amato | Zendy; Giuseppe Friscia | Zendy; Trai Neila | Zendy; Souayeh Turkia | Zendy; Youssra Haouami | Zendy; Raja Rekik | Zendy; Hayet Bouokez | Zendy; M. Vasile Simone | Zendy; F. Fauci | Zendy; G. Raso | Zendy

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Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project

Author(s) -

Amel Benammar Elgaaïed,

Donato Cascio,

Salvatore Bruno,

Maria Cristina Ciaccio,

Marco Cipolla,

Alessandro Fauci,

Rossella Morgante,

Vincenzo Taormina,

Yousr Gorgi,

Raja Marrakchi,

Mélika Ben Ahmed,

Hechmi Louzir,

Sadok Yalaoui,

I. Sfar,

Yassine Issaoui,

Ahmed Abidi,

Myriam Ammar,

Walid Bedhiafi,

Oussama Ben Fraj,

R. Bouhaha,

Khouloud Hamdi,

Koudhi Soumaya,

Bilel Neili,

Asma Gati,

Mariano Lucchese,

Maria Catanzaro,

Vincenza Barbara,

Ignazio Brusca,

Maria Fregapane,

Gaetano Amato,

Giuseppe Friscia,

Trai Neila,

Souayeh Turkia,

Youssra Haouami,

Raja Rekik,

Hayet Bouokez,

M. Vasile Simone,

F. Fauci,

G. Raso

Publication year - 2016

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2016/2073076

Subject(s) - gold standard (test) , iif , cad , computer aided diagnosis , anti nuclear antibody , autoantibody , medicine , indirect immunofluorescence , pattern recognition (psychology) , computer science , artificial intelligence , immunology , biology , antibody , biochemistry

Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection) solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).

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