Results 171 to 180 of about 864,317 (294)

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]

Sci Rep
Li Y, Luo Z, Chen T, Huang X, Zhong C, Zhu G, Jin D, Cheng C, Zhang Y, Zhao J, Gao P.   +10 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching. [PDF]

Sci Rep
Sun Y, Cheng Q, Xie W, Huang H, Gu C.
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

SemOD: Semantic-Enabled Object Detection Network Under Various Weather Conditions. [PDF]

Sensors (Basel)
Zuo A, Zheng Z.
europepmc   +1 more source

GLOMICAVE semantic model

Common vocabulary to represent omic data and experiments to facilitate data integration and ...
openaire   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

PSCA-YOLO: An enhanced YOLO with position-semantics coupled attention for mandibular fracture detection. [PDF]

iScience
Zhou T, Chen K, Lu H, Yu S, Chai W, Liu Q.   +5 more
europepmc   +1 more source

Common Semantic Model

Final version of the openMOS common semantic model. This model will be published in the formal identified by D3.3. It will cover all the core definitions required to allow a seamless integration of diverse plug&produce devices within the factory automation domain.
openaire   +1 more source