Retinal Blood-Vessel Extraction Using Weighted Kernel Fuzzy C-Means Clustering and Dilation-Based Functions. [PDF]
Wisaeng K.
europepmc +1 more source
Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang +17 more
wiley +1 more source
Chimp Optimization Algorithm Influenced Type-2 Intuitionistic Fuzzy C-Means Clustering-Based Breast Cancer Detection System. [PDF]
Balaji P +6 more
europepmc +1 more source
Bioinspired Tissue Transparency: Achieving Sclera‐to‐Cornea Transplantation
A bioinspired decellularization‐compression‐locking tactic (DCLT) is developed to transform human sclerae into transparent corneal substitutes. These clear, robust, and pro‐regenerative substitutes are capable of repairing complex corneal injuries, including chemical burns, keratoconus, and penetrating wounds, demonstrating their clinical potential to ...
Xiuli Sun +8 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]
Mohammadi S +4 more
europepmc +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm. [PDF]
Wang G, Guo S, Han L, Zhao Z, Song X.
europepmc +1 more source
His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source
A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms. [PDF]
El Motaki S +3 more
europepmc +1 more source
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source

