Search results for "features extractor"

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Performance of Fine-Tuning Convolutional Neural Networks for HEp-2 Image Classification

2020

The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provided by Human Epithelial type 2 (HEp-2) cells. The first phase of HEp-2 type image analysis involves the classification of fluorescence intensity in the positive/negative classes. However, the analysis of IIF images is difficult to perform and particularly dependent on the experience of the immunologist. For this reason, the interest of the scientific community in finding relevant technological solutions to the problem has been high. Deep lea…

Fine-tuningComputer scienceautoimmune diseaseHEp-202 engineering and technologylcsh:TechnologyConvolutional neural network030218 nuclear medicine & medical imagingImage (mathematics)lcsh:Chemistry03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringautoimmune diseasesGeneral Materials Sciencelcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesContextual image classificationReceiver operating characteristiclcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningGeneral EngineeringCNNsdeep learningPattern recognitionGold standard (test)lcsh:QC1-999Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)IIF testComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Feature (computer vision)020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businessfine-tuninglcsh:PhysicsCNNfeatures extractorApplied Sciences
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