Results 91 to 100 of about 15,044 (262)

Retinal Blood-Vessel Extraction Using Weighted Kernel Fuzzy C-Means Clustering and Dilation-Based Functions. [PDF]

Diagnostics (Basel), 2023
Wisaeng K.
europepmc   +1 more source

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

Advanced Science, EarlyView.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You, Georgios Varnavides, Sagar Khavnekar, Nikita Palatkin, Sihan Shao, Mingjian Wu, Daniel Stroppa, Darya Chernikova, Baixu Zhu, Ricardo Egoavil, Stefano Vespucci, Dileep Krishnan, Xingchen Ye, Florian K. M. Schur, Erdmann Spiecker, Philipp Pelz   +15 more
wiley   +1 more source

Chimp Optimization Algorithm Influenced Type-2 Intuitionistic Fuzzy C-Means Clustering-Based Breast Cancer Detection System. [PDF]

Cancers (Basel), 2023
Balaji P, Muniasamy V, Bilfaqih SM, Muniasamy A, Tharanidharan S, Mani D, Alsid LEG.   +6 more
europepmc   +1 more source

A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers

Advanced Science, EarlyView.
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels, Joana Caria, Edward A. Lemke   +2 more
wiley   +1 more source

APPLICATION OF K-MEANS AND FUZZY C-MEANS ALGORITHMS TO DETERMINE FLOOD VULNERABILITY CLUSTERS (CASE STUDY: KUTAI KARTANEGARA REGENCY)

Barekeng
Flooding show situation where areas that are not usually inundated, such as farmland and settlements, and city district areas, become inundated due to water.
Desi Nurjanah, Indira Anggriani, Primadina Hasanah   +2 more
doaj   +1 more source

COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm. [PDF]

Biomed Signal Process Control, 2023
Wang G, Guo S, Han L, Zhao Z, Song X.
europepmc   +1 more source

Reorganization of Innate Immune Cell Lipid Profiles by Bioinspired Meroterpenoids to Limit Inflammation

Advanced Science, EarlyView.
Resolution pharmacology is an emerging strategy to tackle inflammatory pathologies. Bioinspired meroterpenoids induce a lipid mediator class switch toward inflammation resolution in vitro and in vivo by targeting key nodes in lipid mediator biosynthesis and neutral lipid dynamics.
Lorenz Waltl, David Holubek, Klaus Speck, Raphael Wildermuth, Franz‐Lucas Haut, Stephan Permann, Immanuel Plangger, Christian Steinborn, Zhigang Rao, Danilo D'Avino, Ida Cerqua, Julia Stadler, Fiorentina Roviezzo, Peter Schlenke, Anita Siller, Harald Schennach, Solveigh C. Koeberle, Eva‐Maria Pferschy‐Wenzig, Antonietta Rossi, Thomas Magauer, Andreas Koeberle   +20 more
wiley   +1 more source

Automated segmentation of meningioma from contrast-enhanced T1-weighted MRI images in a case series using a marker-controlled watershed segmentation and fuzzy C-means clustering machine learning algorithm. [PDF]

Int J Surg Case Rep, 2023
Mohammadi S, Ghaderi S, Ghaderi K, Mohammadi M, Pourasl MH.   +4 more
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

IMPROVED HYBRID SEGMENTATION OF BRAIN MRI TISSUE AND TUMOR USING STATISTICAL FEATURES [PDF]

ICTACT Journal on Image and Video Processing, 2010
Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Relevant application in neuroradiology is the segmentation of MRI data sets
S. Allin Christe, K. Malathy, A. Kandaswamy   +2 more
doaj