This paper presents a novel and computationally efficient approach to an adaptive mammographic image feature enhancement using wavelet-based multiresolution analysis. Upon wavelet decomposition applied to a given mammographic image, we integrate the information of the tree-structured zerocrossings of wavelet coefficients and the information of the low-pass filtered subimage to enhance the desir...

A novel and computationally efficient approach to an adaptive mammographic image feature enhancement using wavelet-based multiresolution analysis is presented. On wavelet decomposition applied to a given mammographic image, we integrate the information of the tree-structured zero crossings of wavelet coefficients and the information of the low-pass-filtered subimage to enhance the desired image...

Remote-sensing images constitute an important means of obtaining geographic information. Image super-resolution reconstruction techniques are effective methods improving the spatial resolution remote-sensing images. Super-resolution networks mainly improve model performance by increasing network depth. However, blindly depth can easily lead to gradient disappearance or explosion, difficulty tra...

We investigated two structures that are in close association with the pyramidal lobe of thyroid gland. Our investigation was performed using microdissection and histological examination 106 human postmortem specimens. The first structure identified as fibrous band present 28.3% cases. This always associated (which significantly longer thicker when this band) it had a constant hyo-pyramidal exte...

Animal studies have shown that prenatal stress is able to induce long-lasting neurobiological and behavioral alterations in adult offspring. In spite of the facts that hippocampus is sensitive to early developmental influences and its known functional importance in learning and memory, few data are available on the effect of prenatal stress on the structure of hippocampus. Therefore, this study...

A mesh refinement procedure designed for Digital Image Correlation analyses of cracked media is proposed, based on the pixel color an artificial case, and crack opening displacement field two experimental cases. Although evidence that this can improve every case if tiny elements are sought, it also shown size matrices consequently, computational cost be reduced while maintaining accuracy, espec...

In this paper is offered a method for non-linear still image representation based on pyramidal decomposition with a neural network. This approach is developed by analogy with the hypothesis for the way humans do image recognition using consecutive approximations with increasing similarity. A hierarchical decomposition, named Inverse Difference Pyramid (IDP), is used for the image representation...

Accurate noninvasive diagnosis of retinal disorders is required for appropriate treatment or precision medicine. This work proposes a multi-stage classification network built on multi-scale (pyramidal) feature ensemble architecture image using optical coherence tomography (OCT) images. First, scale-adaptive neural developed to produce inputs extraction and learning. The larger input sizes yield...

Unraveling pyramidal cell structure is crucial to understanding cortical circuit computations. Although it is well known that pyramidal cell branching structure differs in the various cortical areas, the principles that determine the geometric shapes of these cells are not fully understood. Here we analyzed and modeled with a von Mises distribution the branching angles in 3D reconstructed basal...