Structure-aware state space modeling with multi-scale feature fusion for railway scene segmentation. [PDF]
Sci RepFu H +5 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
SREF: Semantics-Refined Feature Extraction for Long-Term Visual Localization. [PDF]
J ImagingWu D, Zhu K, Shi H, Zhou F, Kuang M.
europepmc +1 more source
A coarse-to-fine restoration framework integrating deep semantic inpainting and texture-aware refinement for Jinling school landscapes. [PDF]
Sci RepYang C.
europepmc +1 more source
LPA-Tuning CLIP: An Improved CLIP-Based Classification Model for Intestinal Polyps. [PDF]
Sensors (Basel)Wang Z, Gao J, Ping W, Qin J, Ji C.
europepmc +1 more source
Utilizing Artificial Intelligence to create narrative literature reviews. [PDF]
Einstein (Sao Paulo)Giglio AD, Costa MUPD.
europepmc +1 more source
Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology. [PDF]
Front RadiolSpada E +4 more
europepmc +1 more source
Structuring integration for patient-centered care: a review-informed ontology-driven modular front-end framework for digital health innovation. [PDF]
Front Digit HealthAmbalavanan R +5 more
europepmc +1 more source
Evaluating Lexical/Semantic Resources for Bridging the Semantic Gap
Evaluating Lexical/Semantic Resources for Bridging the Semantic Gapopenaire