Microstructural characterization and analysis is the foundation of microstructural science,
connecting materials structure to composition, process history, and properties …

Watershed is a widely used image segmentation algorithm. Most researchers understand
just an idea of this method: a grayscale image is considered as topographic relief, which is …

Deep convolutional neural networks have been dominating in the field of hyperspectral
image (HSI) classification. However, single convolutional kernel can limit the receptive field …

Tissue morphogenesis results from a tight interplay between gene expression, biochemical
signaling and mechanics. Although sequencing methods allow the generation of cell …

Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …

Electron microscopy (EM) allows the identification of intracellular organelles such as
mitochondria, providing insights for clinical and scientific studies. However, public …

Purpose An adaptive proton therapy workflow using cone beam computed tomography
(CBCT) is proposed. It consists of an online evaluation of a fast range-corrected dose …

Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

In this work, we extend a common framework for graph-based image segmentation that
includes the graph cuts, random walker, and shortest path optimization algorithms. Viewing …

Image segmentation is the process of partitioning a digital image into a set of homogeneous
regions (according to some homogeneity criterion) to facilitate a subsequent higher-level …