Efficient k-NN based HEp-2 cells classifier
- 1 July 2014
- journal article
- research article
- Published by Elsevier BV in Pattern Recognition
- Vol. 47 (7), 2409-2418
- https://doi.org/10.1016/j.patcog.2013.09.021
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Benchmarking HEp-2 Cells Classification MethodsIEEE Transactions on Medical Imaging, 2013
- A classification-based approach to segment HEp-2 cellsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- HEp-2 cell pattern segmentation for the support of autoimmune disease diagnosisPublished by Association for Computing Machinery (ACM) ,2011
- Color to grayscale staining pattern representation in IIFPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Early experiences in mitotic cells recognition on HEp-2 slidesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Outline Detection for the HEp-2 Cell in Indirect Immunofluorescence Images Using Watershed SegmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Objective quality evaluation of fluorescence images to optimize automatic image acquisitionCytometry Part A, 2006
- Automatic Acquisition of Immunofluorescence Images: Algorithms and EvaluationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Evidence‐based guidelines for the use of immunologic tests: Antinuclear antibody testingArthritis Care & Research, 2002
- Guidelines for the Laboratory Use of Autoantibody Tests in the Diagnosis and Monitoring of Autoimmune Rheumatic DiseasesAmerican Journal of Clinical Pathology, 2002