Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …

It has been made great progress on single image deraining based on deep convolutional
neural networks (CNNs). In most existing deep deraining methods, CNNs aim to learn a …

In this paper, a feature extraction method through the time-series prediction based on the
adaptive neuro-fuzzy inference system (ANFIS) is proposed for brain–computer interface …

Confocal mosaicing microscopy is a develo** technology platform for imaging tumor
margins directly in freshly excised tissue, without the processing required for conventional …

Intensive research has been done on image mosaic algorithms to improve the field of view
through generated image mosaics. However, their usage varies from one field to another …

In this study, we propose a two-stage recognition system for continuous analysis of
electroencephalogram (EEG) signals. An independent component analysis (ICA) and …

In this study, we propose an analysis system for single-trial classification of
electroencephalogram (EEG) data. Combined with automatic EOG artifact removal and …

Vignetting is the radial attenuation effect of the image's brightness intensity from the center of
the optical axis to the edges. To perform quantitative image analyses it is mandatory to take …

In this study, an adaptive electroencephalogram (EEG) analysis system is proposed for a
two-session, single-trial classification of motor imagery (MI) data. Applying event-related …

We describe a computer vision-based mosaicking method for in vivo videos of reflectance
confocal microscopy (RCM). RCM is a microscopic imaging technique, which enables the …