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This paper introduces a novel system for the analysis of superresolution microscopy images using a learning based approach boosting performance and simplicity of use. Key component of single-molecule-localisation (SML) microscopy techniques is the ability to localise single emitting molecules in a stack of noisy images with a high degree of accuracy. To this end, we propose a SVM-based detector coupled...
Automated classification of HEp-2 cell images is crucial for fast and accurate detection of autoimmune diseases. Recent competitions resulted in high classification rates on publicly available datasets. However, performance on low-resolution HEp-2 images typically lagged behind that of high-resolution images due to the blurring and sub-sampling of fine cellular details. Direct interpolation of low-resolution...
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