However, the efficiency is achieved at the expense of complexity to perform mathematical evaluation. Based on the requirements for efficient interpolation and compression with less complexity, Bilinear interpolation is selected in this research for image resampling. The region of interest specified by the...
The aim of this work is to take advantage of image complexity in the design of macro-level neural networks for medical image segmentation. To demonstrate the efficacy and wide applicability of image complexity analysis for neural network based medical image segmentation, we present experiments on 10...
Third, the problems of natural image complexity and decorrelation are also avoided to some extent because the new philosophy does not attempt to predict image quality by accumulating the errors associated with psychophysically understood simple patterns. Instead, the new philosophy proposes to evaluate t...
In recent years, more and more deep learning frameworks are being applied to hyperspectral image classification tasks and have achieved great results. However, the existing network models have higher model complexity and require more time consumption. Tr
toextractspatialfeatureadaptivelyandusethespatialfeaturetoimprovethe classificationaccuracyofHISaredescribedasfollows:Spatial-spectralfeatureextractingmethodonsuperpixel:onesuperpixelcan beregardedasasmallregionconsistingofanumberofpixelswithsimilarspectral characteristics,balancingtheconflictinggoalsofreducingimagecomplexity...
Spatial Tissue Cytometry: Success Stories In the article for Eurolab magazine, Anastasiia Marchuk and Felicitas Mungenast (TG) discuss how tissue cytometry can help to unravel the complexity of cellular populations in the tissue environment. Read the artcile to know more about present applications. ...
Supporting the next generation of image data.Over time, the infrastructure of image acquisition has grown in sophistication and complexity. For example, in the field of microscopy we were once limited to single image planes. However, with modern techniques we can record much more information: physi...
In this work, an image captioning method is proposed that uses discrete wavelet decomposition along with convolutional neural network (WCNN) for extracting the spectral information in addition to the spatial and semantic features of the image. An attempt is made to enhance the visual modelling of ...
In Table2, we verify the selection of the number of MIEM, in which the numbers are set to\(T=2\), 4, and 6, respectively. Obviously, the improvement in recovery accuracy becomes small when the value ofTexceeds 4. Taking into account the trade-off between network complexity and restorati...
Luminescent reporters are due to their intrinsically high signal-to-noise ratio a powerful labelling tool for microscopy and macroscopic in vivo imaging in biomedical research. However, luminescence signal detection requires longer exposure times than fl