This chapter presents the theory and design principles used to derive semi-automatic algorithms for pulmonary nodule segmentation toward realizing a reliable and reproducible clinical application for nodule volumetry. The proposed algorithms are designed to be robust against the variabilities due to 1) user-interactions for algorithm initialization, 2) attached or adjacent non-target structures...

We report on a procedure for the preparation, printing and curing of antibacterial poly(N-isopropylacrylamide) nanocellulose-reinforced hydrogels. These composites present highly anisotropic microstructure which allows to control modulate resulting mechanical properties. The incorporation such nanoparticles enables us modify both strength humidity-dependent swelling direction printed parts, off...

Ag nanostructure-based surface-enhanced Raman scattering (SERS) substrates tend to be oxidized and corroded by sulfides owing their large specific surface area, resulting in severe deterioration. Contrastingly, micrometer-sized structures are more chemically stable. Nevertheless, no reports exist on the utilization of microstructures as SERS substrates, they lack hot spots. Herein, for first ti...

Perform an image preprocessing for its conditioning and feature extraction needs a work scheme where the elements, that affects the region of interest and processing, are removed of the image. There is a dermoscopic image processing and shape analysis approach, with getting data that characterizes the image and use this information for clinic diagnosis. 200 dermoscopic images were used in simil...

Efficient and robust information retrieval from large image databases is an essential functionality for the reuse, manipulation, and editing of multimedia documents. Structural feature indexing is a potential approach to efficient shape retrieval from large databases, but it is sensitive to noise, scales of observation, and local shape deformations. To improve the robustness, shape feature gene...

Curvatures on the surface are important geometric invariants and are widely used in different area of research. Examples include feature recognition, segmentation, or shape analysis. Therefore, it is of interest to develop an effective algorithm to approximate the curvatures accurately. The classical methods to compute these quantities involve the estimation of the normal and some involve the c...

Predicting structure from the attributes of a material's building blocks remains a challenge and central goal for materials science. Isolating the role of building block shape for self-assembly provides insight into the ordering of molecules and the crystallization of colloids, nanoparticles, proteins, and viruses. We investigated 145 convex polyhedra whose assembly arises solely from their ani...