Results 91 to 100 of about 48,049 (318)

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network

Journal of Medical Physics, 2008
The objective of developing this software is to achieve auto-segmentation and tissue characterization. Therefore, the present algorithm has been designed and developed for analysis of medical images based on hybridization of syntactic and statistical ...
Sharma Neeraj, Ray Amit, Sharma Shiru, Shukla K, Pradhan Satyajit, Aggarwal Lalit   +5 more
doaj  

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

The texture analysis of computed tomography studies in clear cell renal cell carcinoma: reproducibility of 2D and 3D segmentation

Alʹmanah Kliničeskoj Mediciny
Background: Differentiation of tumor grade at the preoperative stage is of utmost importance for the modification of the treatment strategy and the extent of operation.
Stanislava V. Khromova, Grigory G. Karmazanovsky, Natalia A. Karelskaya, Ivan S. Gruzdev   +3 more
doaj   +1 more source

Unsupervised Texture Segmentation Using Active Contour Model and Oscillating Information

Journal of Applied Mathematics, 2014
Textures often occur in real-world images and may cause considerable difficulties in image segmentation. In order to segment texture images, we propose a new segmentation model that combines image decomposition model and active contour model.
Guodong Wang, Zhenkuan Pan, Qian Dong, Ximei Zhao, Zhimei Zhang, Jinming Duan   +5 more
doaj   +1 more source

Microenvironmental Reprogramming by 3D Anisotropic Cardiac Extracellular Matrix Induces Nuclear Remodeling and Epigenetic Maturation of Chemically Induced Cardiomyocytes

Advanced Functional Materials, EarlyView.
A 3D anisotropic hydrogel derived from heart extracellular matrix guides cytoskeletal alignment and nuclear remodeling in reprogrammed cardiomyocyte‐like cells. This study reveals how matrix alignment modulates nuclear envelope dynamics and chromatin state, triggering transcriptional and functional maturation.
Seung Ju Seo, Mi Jeong Lee, Hyun Wook Kang, Seonhee Byeon, Soo‐Kyoung Choi, Nakwon Choi, Seung‐Woo Cho, Yoonhee Jin   +7 more
wiley   +1 more source

Unsupervised texture segmentation using multiresolution Markov random fields [PDF]

In this thesis, a multiresolution Markov Random Field (MMRF) model for segmenting textured images without supervision is proposed. Stochastic relaxation labelling is adopted to assign the class label with highest probability to the block (site) being ...
Li, Chang-Tsun
core  

Automatic segmentation of skin cancer images using adaptive color clustering [PDF]

, 2006
This paper presents the development of an adaptive image segmentation algorithm designed for the identification of the skin cancer and pigmented lesions in dermoscopy images. The key component of the developed algorithm is the Adaptive Spatial K-Means (A-
Ilea, Dana E., Whelan, Paul F.
core  

Evaluating the Effects of Image Texture Analysis on Plastic Greenhouse Segments via Recognition of the OSI-USI-ETA-CEI Pattern

Remote Sensing, 2019
Compared to multispectral or panchromatic bands, fusion imagery contains both the spectral content of the former and the spatial resolution of the latter.
Yao Yao, Shixin Wang
doaj   +1 more source

Unsupervised Texture Classification And Segmentation

, 2007
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of independent non-Gaussian densities. The algorithm estimates the data density in each class by using parametric nonlinear functions that fit to the non-Gaussian structure of ...
V. P. Subramanyam Rallabandi, S. K. Sett
openaire   +1 more source