Results 121 to 130 of about 488,489 (323)
Systematic review of image segmentation using complex networks [PDF]
arXivThis review presents various image segmentation methods using complex networks. Image segmentation is one of the important steps in image analysis as it helps analyze and understand complex images. At first, it has been tried to classify complex networks based on how it being used in image segmentation.
arxiv
Nonlinear analog networks for image smoothing and segmentation [PDF]
, 1991 Andrew Lumsdaine +2 more
openalex +1 more source
, 2019 Realistic editing of photographs requires careful treatment of color mixtures that commonly occur in natural scenes. These color mixtures are typically modeled using soft selection of objects or scene colors. Hence, accurate representation of these soft transitions between image regions is essential for high-quality image editing and compositing ...
openaire +3 more sources
DRINet for Medical Image Segmentation
IEEE Transactions on Medical Imaging, 2018 Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many different medical image segmentation applications. The U-Net architecture consists of standard convolution
Liang Chen +5 more
openaire +5 more sources
Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022 Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh +5 more
wiley +1 more source
Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022 Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey +5 more
wiley +1 more source
A new Level-set based Protocol for Accurate Bone Segmentation from CT Imaging [PDF]
arXiv, 2015 In this work it is proposed a medical image segmentation pipeline for accurate bone segmentation from CT imaging. It is a two-step methodology, with a pre-segmentation step and a segmentation refinement step. First, the user performs a rough segmenting of the desired region of interest.
arxiv
An approach to three-dimensional image segmentation [PDF]
, 1991 Shih-Ping Liou, Ramesh Jain
openalex +1 more source
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1962-1973, December 2022., 2022 Abstract Objectives Early‐ and late‐onset Alzheimer's disease (EOAD and LOAD) share the same neuropathological traits but show distinct cognitive features. We aimed to explore baseline and longitudinal outcomes of global and domain‐specific cognitive function in a well characterized cohort of patients with a biomarker‐based diagnosis.
Adrià Tort‐Merino +16 more
wiley +1 more source
Canonical Plane Segmentation Without Annotating Pixel-Level Object Regions for Image Registration
IEEE AccessTwo-dimensional (2D) image registration is a natural choice for simultaneous object pose estimation and object recognition. However, it was not designed to perform object segmentation, which is critical for object-picking applications in warehouse ...
Shunsuke Yoneda +2 more
doaj +1 more source