Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial neural network models for texture classification via: the Radon transform
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
Combination of Multiple Classifiers Using Local Accuracy Estimates
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experiments on Solving Multiclass Learning Problems by n2-classifier
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
A Multi-Expert System to Classify Fluorescent Intensity in Antinuclear Autoantibodies Testing
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Early Experiences in the Staining Pattern Classification of HEp-2 Slides
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Pattern Analysis & Applications
To reject or not to reject: that is the question-an answer in caseof neural classifiers
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Switching between selection and fusion in combining classifiers: anexperiment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Mining knowledge for HEp-2 cell image classification
Artificial Intelligence in Medicine
Analysis and Classification of Crithidia Luciliae Fluorescent Images
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A decision support system for Crithidia Luciliae image classification
Artificial Intelligence in Medicine
Mitotic HEp-2 cells recognition under class skew
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
HEp-2 cell images classification based on textural and statistic features using self-organizing map
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Polichotomies on imbalanced domains by one-per-class compensated reconstruction rule
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Indirect immunofluorescence image classification using texture descriptors
Expert Systems with Applications: An International Journal
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Indirect immunofluorescence is currently the recommended method for the detection of antinuclear autoantibodies (ANA). The diagnosis consists of both estimating the fluorescence intensity and reporting the staining pattern for positive wells only. Since resources and adequately trained personnel are not always available for these tasks, an evident medical demand is the development of computer-aided diagnosis (CAD) tools that can support the physician decisions. In this paper, we present a system that classifies the staining pattern of positive wells on the strength of the recognition of their cells. The core of the CAD is a multiple expert system (MES) based on the one-per-class approach devised to label the pattern of single cells. It employs a hybrid approach since each composing binary module is constituted by an ensemble of classifiers combined by a fusion rule. Each expert uses a set of stable and effective features selected from a wide pool of statistical and spectral measurements. In this framework, we present a novel parameter that measures the reliability of the final classification provided by the MES. This feature is used to introduce a reject option that allows to reduce the error rate in the recognition of the staining pattern of the whole well. The approach has been evaluated on 37 wells, for a total of 573 cells. The measured performance shows a low overall error rate (2.7%-5.8%), which is below the observed intralaboratory variability.