Results 201 to 210 of about 16,537 (263)
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
Protein function-conditioned language models for variant effect prediction and controllable design. [PDF]
Zhu S, Cao Y, Yang Y, Shen Y.
europepmc +1 more source
Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that treats tactile sensing as an information‐budgeting problem.
Xiaoxian Xu, David Hardman, Fumiya Iida
wiley +1 more source
A hybrid CNN-Transformer network integrating multiscale spatially detailed features for medical image segmentation. [PDF]
Li B, Zhou W, Li H.
europepmc +1 more source
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan +5 more
wiley +1 more source
Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAs. [PDF]
Xuan P +5 more
europepmc +1 more source
Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang +6 more
wiley +1 more source
Heterogeneous graph transformer and diffusion model for disease diagnosis. [PDF]
Zhu X, Yang D, Liu Y.
europepmc +1 more source
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng +6 more
wiley +1 more source
Brain-imager: a multimodal framework for image reconstruction and captioning from human brain activity. [PDF]
Meng L, Song Z, Lu J.
europepmc +1 more source

