Results 141 to 150 of about 12,457,928 (304)

An Expertise Transfer Framework For Autonomous Surgical Assistance

Advanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao, Guangdi Chu, Wei Jiao, Yuchuan Zhong, Hang Yuan, Chengjun Li, Jinhua Li, Shuxin Wang, Bo Guan, Jianchang Zhao, Lizhi Pan, Haitao Niu, Jianmin Li   +12 more
wiley   +1 more source

Image Semantic Segmentation Method Based on Deep Fusion Network and Conditional Random Field. [PDF]

Comput Intell Neurosci, 2022
Wang S, Yang Y.
europepmc   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Efficient Semantic Segmentation of Remote Sensing Images Through Global-Local Feature Integration

IEEE Access
The rapid acquisition of remote sensing information plays a significant role in the development of image semantic segmentation methods for remote sensing image interpretation applications.
Fengyi Zhang, Xiuyu Xia
doaj   +1 more source

A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network. [PDF]

Front Comput Neurosci, 2022
Pan L.
europepmc   +1 more source

Vocabulary-Free Image Classification and Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test time for composing textual prompts. This assumption is impractical in scenarios with unknown or evolving semantic context.
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci   +5 more
openaire   +5 more sources

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. [PDF]

Med Image Anal, 2023
Bhattarai B, Subedi R, Gaire RR, Vazquez E, Stoyanov D.   +4 more
europepmc   +1 more source

Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution

Advanced Science, EarlyView.
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang, Chenglong Zheng, Huaping Zang, Changwei Zhang, Huai Xia, Chang Wang, Zhenrong Zheng   +6 more
wiley   +1 more source

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image. [PDF]

PLoS One, 2022
Nwosu L, Li X, Qian L, Kim S, Dong X.
europepmc   +1 more source