A decision support system for Crithidia Luciliae image classification

Artificial Intelligence in Medicine

Volumn 51, Issue 1, 2011, Pages 67-74

  Soda, Paolo ^a,b   Onofri, Leonardo ^a   Iannello, Giulio ^a,b  

^a UNIVERSITY CAMPUS BIO MEDICO   (Italy)

^b Fondazione Alberto Sordi   (Italy)

Author keywords

Computer aided diagnosis (CAD); Crithidia Luciliae classification; Indirect immunofluorescence (IIF); Supervised pattern recognition; Systemic lupus erythematosus (SLE)

Indexed keywords

ANNOTATED DATABASE; CHRONIC DISEASE; CHRONIC INFLAMMATORY; COMPACT SETS; CONNECTIVE TISSUES; CONSECUTIVE ANALYSIS; CRITHIDIA LUCILIAE CLASSIFICATION; DESCRIPTORS; FALSE NEGATIVES; FALSE POSITIVE; FEATURE EXTRACTION AND SELECTION; IMAGES INFORMATION; INDIRECT IMMUNOFLUORESCENCE; INTEGRATING INFORMATION; MAJORITY VOTING RULES; ORGAN SYSTEMS; RECOGNITION SYSTEMS; REPRODUCIBILITIES; SENSITIVITY AND SPECIFICITY; SINGLE CELLS; STANDARDISATION; SUPERVISED PATTERN RECOGNITION; SYSTEMIC LUPUS ERYTHEMATOSUS;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DECISION THEORY; DISEASES; FEATURE EXTRACTION; FLUORESCENCE; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RECOGNITION; INTEGRATION; MUSCULOSKELETAL SYSTEM; WELLS;

COMPUTER AIDED DIAGNOSIS;

ACCURACY; ARTICLE; CRITHIDIA; CRITHIDIA LUCILIAE; DECISION SUPPORT SYSTEM; DIAGNOSTIC TEST; DIAGNOSTIC TEST ACCURACY STUDY; IMAGE ANALYSIS; IMMUNOFLUORESCENCE; NONHUMAN; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SYSTEMIC LUPUS ERYTHEMATOSUS; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOANTIBODIES; CRITHIDIA; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; DNA, KINETOPLAST; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; FLUORESCENT ANTIBODY TECHNIQUE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUPUS ERYTHEMATOSUS, SYSTEMIC; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 78650948508     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2010.05.005     Document Type: Article

References (34)

1. Uramoto K.M., Michet C.J., Thumboo J., Sunku J., O'Fallon W.M., Gabriel S.E. Trends in the incidence and mortality of systemic lupus erythematosus, 1950-1992. Arthritis & Rheumatism 1999, 42(1):46-50.
2. Govoni M., Castellino G., Bosi S., Napoli N., Trotta F. Incidence and prevalence of systemic lupus erythematosus in a district of North Italy. Lupus 2006, 15(2):110-113.
3. Stahl-Hallengren C., Jonsen A., Nived O., Sturfelt G. Incidence studies of systemic lupus erythematosus in Southern Sweden: increasing age, decreasing frequency of renal manifestations and good prognosis. The Journal of Rheumatology 2000, 27(3):685-691.
4. Peschken C.A., Esdaile J.M. Systemic lupus erythematosus in North American Indians: a population based study. The Journal of Rheumatology 2000, 27(8):1884-1891.
5. Mok C.C., Lee K.W., Ho C.T.K., Lau C.S., Wong R. A prospective study of survival and prognostic indicators of systemic lupus erythematosus in a southern Chinese population. Rheumatology 2000, 39:399-406.
6. Bellomio V., Spindler A., Lucero E., Berman A., Santana M., Moreno C., et al. Systemic lupus erythematosus: mortality and survival in Argentina. A multicenter study. Lupus 2000, 9(5):377-381.
7. Hochberg M.C. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis & Rheumatism 1997, 40(9):1725.
8. Hiemann R., Büttner T., Krieger T., Roggenbuck D., Sack U., Conrad K. Challenges of automated screening and differentiation of non-organ specific autoantibodies on HEp-2 cells. Autoimmunity Reviews 2009, 9(1):17-22.
9. Rigon A., Soda P., Zennaro D., Iannello G., Afeltra A. Indirect immunofluorescence in autoimmune diseases: assessment of digital images for diagnostic purpose. Cytometry 2007, 72(6):472-477.
10. Pham B.N., Albarede S., Maisonneuve P. Impact of external quality assessment on antinuclear antibody detection performance. Lupus 2005, 14(2):113-119.
11. Piazza A., Manoni F., Ghirardello A., Bassetti D., Villalta D., Pradella M., Rizzotti P. Variability between methods to determine ANA, anti-dsDNA and anti-ENA autoantibodies: a collaborative study with the biomedical industry. Journal of Immunological Methods 1998, 219(1-2):99-107.
12. Song L., Hennink E.J., Young I.T., Tanke H.J. Photobleaching kinetics of fluorescein in quantitative fluorescence microscopy. Biophysical Journal 1995, 68(6):2588-2600.
13. Das s.r.l., Service manual AP22 Speedy IF, Palombara Sabina (RI), 5th ed. (March 2010).
14. Bio-Rad Laboratories Inc., Service manual PhD System, Hercules, CA (April 2004).
15. Perner P., Perner H., Muller B. Mining knowledge for HEp-2 cell image classification. Artificial Intelligence in Medicine 2002, 26(1):161-173.
16. Sack U., Knoechner S., Warschkau H., Pigla U., Emmerich F., Kamprad M. Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmunity Reviews 2003, 2(5):298-304.
17. Hiemann R., Hilger N., Michel J., Anderer U., Weigert M., Sack U. Principles, methods and algorithms for automatic analysis of immunofluorescence patterns on HEp-2 cells. Autoimmunity Reviews 2006, 86.
18. Soda P., Iannello G., Vento M. A multiple experts system for classifying fluorescence intensity in antinuclear autoantibodies analysis. Pattern Analysis & Applications 2009, 12(3):215-226.
19. Soda P., Iannello G. Aggregation of classifiers for staining pattern recognition in antinuclear autoantibodies analysis. IEEE Transactions on Information Technology in Biomedicine 2009, 13(3):322-329.
20. Tozzoli R., Bizzaro N., Tonutti E., Villalta D., Bassetti D., Manoni F., et al. Guidelines for the laboratory use of autoantibody tests in the diagnosis and monitoring of autoimmune rheumatic diseases. American Journal of Clinical Pathology 2002, 117(2):316-324.
21. CDC, Center for Disease Control, Quality assurance for the indirect immunofluorescence test for autoantibodies to nuclear antigen (IF-ANA): approved guideline, NCCLS I/LA2-A 16 (11).
22. Cheng H.D., Cai X., Chen X., Hu L., Lou X. Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recognition 2003, 36(12):2967-2991.
23. Van Ginneken B., Ter Haar Romeny B.M., Viergever M.A. Computer-aided diagnosis in chest radiography: a survey. IEEE Transactions on Medical Imaging 2001, 20(12):1228-1241.
24. Tuzel O., Yang L., Meer P., Foran D.J. Classification of hematologic malignancies using texton signatures. Pattern Analysis & Applications 2007, 10(4):1-14.
25. Das s.r.l., SL-IM, Palombara Sabina, Italy; 2009. URL http://www.dasitaly.com/.
26. ImageInterpret Ltd., Hep-2 pad, Leipzig, Germany; 2009. URL http://www.imageinterpret.de/.
27. Medipan GmbH, Aklides, Dahlewitz, Germany; 2009. URL http://medipan.de/.
28. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 1970, 9(1):62-66.
29. Viola P., Jones M. Rapid object detection using a boosted cascade of simple feature, in: Computer Vision and Pattern Recognition, 2001, CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference, vol. 1 2001, 511-518.
30. Ojala T., Pietikäinen M., Harwood D. A comparative study of texture measures with classification based on feature distribution. Pattern Recognition 1996, 29(1):51-59.
31. Ojala T., Pietikäinen M., Mäenpää T. Multiresolution gray-scale and rotation invariant texture classification with local binary pattern. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24(7):971-987.
32. Duda R.O., Hart P.E., Stork D.G. Pattern classification 2001, Wiley Interscience, New York.
33. Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters 2006, 27(8):861-874.
34. Vapnik V.N. The nature of statistical learning theory 1995, Springer-Verlag, Berlin.