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RESEARCH PRODUCT
Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project.
Francesco FauciKhouloud HamdiRaja Marrakchi TrikiMaria Cristina CiaccioRossella MorganteMaria Vasile SimoneSadok YalaouiWalid BedhiafiTrai NeilaKoudhi SoumayaHechmi LouzirYassine IssaouiAlessandro FauciHaouami YoussraDonato CascioR. BouhahaMaria CatanzaroGaetano AmatoIgnazio BruscaMarco CipollaVincenza BarbaraSfar ImeneGiuseppe RasoM. AmmarYousr GorgiRaja RekikMariano LuccheseBilel NeiliHayet BouokezVincenzo TaorminaAmel Benammar ElgaaiedSalvatore BrunoMaria FregapaneMelika Ben AhmedOussama Ben FrajSouayeh TurkiaAhmed AbidiGiuseppe FrisciaGati Asmasubject
Pathologymedicine.medical_specialtyTunisiaArticle SubjectAnti-nuclear antibody[SDV]Life Sciences [q-bio]lcsh:MedicineCAD02 engineering and technologyGeneral Biochemistry Genetics and Molecular Biology030218 nuclear medicine & medical imagingAutoimmune Diseases03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringImage Processing Computer-AssistedMedicineHumansFluorescent Antibody Technique IndirectIndirect immunofluorescenceGeneral Immunology and Microbiologybusiness.industrylcsh:RIIfPattern recognitionGeneral MedicineGold standard (test)Computer aided detectionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)3. Good healthFluorescence intensityItalyComputer-aided diagnosisAntibodies Antinuclear020201 artificial intelligence & image processingArtificial intelligencebusinessComputer Aided Diagnosis Immunofluorescence Pattern Classification IIF images Autoimmune diseases SVM ANN HEp-2Research Articledescription
International audience; 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%).
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-01 | BioMed research international |