Search results for "HEp-2 cell"

showing 3 items of 3 documents

Automatic Segmentation of HEp-2 Cells Based on Active Contours Model

2018

In the past years, a great deal of effort was put into research regarding Indirect Immunofluorescence techniques with the aim of development of CAD systems. In this work a method for segmenting HEp-2 cells in IIF images is presented. Such task is one of the most challenging of automated IIF analysis, because the segmentation algorithm has to cope with a large heterogeneity of shapes and textures. In order to address this problem, numerous techniques and their combinations were evaluated, in a process aimed at maximizing the figure of merit. The proposed method, for a greater definition of cellular contours, uses the active contours in the last phase of the process. The initial conditions, c…

Active contour modelComputer sciencebusiness.industryHEp-2 cellComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Pattern recognitionEllipseDice indexSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hough transformlaw.inventionRandomized Hough transformHough transformlawPosition (vector)Convergence (routing)SegmentationArtificial intelligencebusinessActive contours modelCells segmentationIIF imagesProceedings of the 2018 3rd International Conference on Biomedical Imaging, Signal Processing
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A multi-process system for HEp-2 cells classification based on SVM

2016

An automatic system for pre-segmented IIF images analysis was developed.A non-standard pipeline for supervised image classification was adopted.The system uses a two-level pyramid to retain some spatial information.From each cell image 216 features are extracted.15 SVM classifiers one-against-one have been implemented. This study addresses the classification problem of the HEp-2 cells using indirect immunofluorescence (IIF) image analysis, which can indicate the presence of autoimmune diseases by finding antibodies in the patient serum. Recently, studies have shown that it is possible to identify the cell patterns using IIF image analysis and machine learning techniques. In this paper we de…

Computer scienceSVM02 engineering and technologyImmunofluorescencecomputer.software_genre030218 nuclear medicine & medical imagingImage (mathematics)03 medical and health sciences0302 clinical medicineArtificial IntelligencePyramid0202 electrical engineering electronic engineering information engineeringmedicinePyramid (image processing)Spatial analysisAccuracy1707Contextual image classificationmedicine.diagnostic_testFeatures reductionIndirect immunofluorescencePipeline (software)Class (biology)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)StainingSupport vector machineHep-2 cells classificationSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionData miningcomputerSoftware
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DEVELOPMENT AND IMPLEMENTATION OF MACHINE LEARNING METHODS FOR THE IIF IMAGES ANALYSIS

2021

FEATURES EXTRACTIONSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniACTIVE CONTOURS MODELFINE-TUNINGDEEP LEARNINGSettore ING-INF/03 - TelecomunicazioniSVMHOUGH TRANSFORMMULTI-CLASS CLASSIFICATIONHEP-2 CELLSIMAGE PREPROCESSINGAUTOIMMUNE DISEASESMACHINE LEARNINGCELLS SEGMENTATIONROC CURVECNNIIF TEST
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