منابع مشابه
Benchmarking HEp-2 Cells Classification Methods
In this paper we report on the first edit ion of the HEp-2 Cells Classificat ion contest , held at the 2012 edit ion of the Internat ional Conference on Pattern Recognit ion, and focused on Indirect Immunofluorescence (IIF) image analysis. The IIF methodology is used to detect autoimmune diseases by searching for ant ibodies in the pat ient serum but, unfortunately, it is st ill a subject ive m...
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Indirect Immunofluorescence on HEp-2 slides is the recommended technique to detect antinuclear autoantibodies in patient serum. Such slides are read at the fluorescence microscope by experts of IIF, who classify the fluorescence intensity, recognize mitotic cells and classify the staining patterns for each well. The crucial need of accurately performed and correctly reported laboratory determin...
متن کاملSubclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification
Classifying HEp-2 fluorescence patterns in Indirect Immunofluorescence (IIF) HEp-2 cell imaging is important for the differential diagnosis of autoimmune diseases. The current technique, based on human visual inspection, is time-consuming, subjective and dependent on the operator’s experience. Automating this process may be a solution to these limitations, making IIF faster and more reliable. T...
متن کاملFisher Vector of Micro-Texton for HEp-2 Staining Pattern Classification
This study addresses the classification problem of HEp-2 cell using indirect immunofluorescent (IIF) image analysis, which can indicate the presence of autoimmune diseases by searching for antibodies in the patient serum. Generally, IIF analysis remains a subjective method, which depends too heavily on the experience and expertise of the physician. Recently, some studies show that it is possibl...
متن کاملA Deep Residual Inception Network for HEp-2 Cell Classification
Indirect-immunofluorescence (IIF) of Human Epithelial-2 (HEp-2) cells is a commonly-used method for the diagnosis of autoimmune diseases. Traditional approach relies on specialists to observe HEp-2 slides via the fluorescence microscope, which suffers from a number of shortcomings like being subjective and labor intensive. In this paper, we proposed a hybrid deep learning network combining the ...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2014
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2013.10.012