Results 111 to 120 of about 24,451 (274)

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

Growth‐Like Swelling of 2D Precursors for Efficient Fabrication of Complex 3D Microstructures

Advanced Science, EarlyView.
The growth‐like swelling process fills photocured polymers into the elastomeric microstructures, inducing a significant swelling deformation of microstructures that can be maintained in the absence of solvents. The growth‐like swelling process breaks through the dependence of swelling deformation on the solvents, thereby expanding the application of 3D
Xinkai Zhu, Liang Wang, Xiangming Li, Chuanhang Zeng, Tianxiang Lan, Guifang Liu, Yangfan Qiu, Junjiang Li, Qi Chen, Bangbang Nie, Hongmiao Tian, Xiaoliang Chen, Chunhui Wang, Jinyou Shao   +13 more
wiley   +1 more source

A Systematic Literature Review on Image Captioning

Applied Sciences, 2019
Natural language problems have already been investigated for around five years. Recent progress in artificial intelligence (AI) has greatly improved the performance of models. However, the results are still not sufficiently satisfying.
Raimonda Staniūtė, Dmitrij Šešok
doaj   +1 more source

Lymphoid‐Tissue‐on‐Chip Recapitulates Human Antibody Responses In Vitro

Advanced Science, EarlyView.
The presented lymphoid‐tissue‐on‐chip system allows culture of primary human tonsil cells at organotypic high density under perfusion for up to 4 weeks, emulates immune response to soluble vaccines and vaccination via peripheral antigen‐presenting cells and represents a useful tool to assess cellular interactions during homeostasis, immune responses ...
Claudia Teufel, Anna‐Sophie Schlemmer, Andrea W. Eiken, Zachary W. Wagoner, Dennis Vöhringer, Lena Christ, Alex Dulovic, Patrick Marsall, Madeleine Fandrich, Eduardo J. S. Brás, Julia Marzi, Friederike Bärhold, Julia Philipp, Sven Becker, Lisa E. Wagar, Peter Loskill   +15 more
wiley   +1 more source

Variational Autoencoder-Based Multiple Image Captioning Using a Caption Attention Map

Applied Sciences, 2019
Image captioning is a promising research topic that is applicable to services that search for desired content in a large amount of video data and a situation explanation service for visually impaired people. Previous research on image captioning has been
Boeun Kim, Saim Shin, Hyedong Jung
doaj   +1 more source

Bifunctional Artificial Enzymes‐Loaded Microgels With LOX‐ and CAT‐Like Activities for Metabolic Reprogramming and Scarless Wound Repair

Advanced Science, EarlyView.
A bifunctional lactate oxidase‐like and catalase‐like artificial enzyme (Metazyme) is integrated into a rod‐shaped microgel (MetaRgel) to enable cascade lactate oxidation and oxygen regeneration. By reprogramming the wound metabolic microenvironment, MetaRgel alleviates excessive lactate accumulation, oxidative stress, hypoxia, and inflammation ...
Yongyuan Kang, Pai Peng, Liang Song, Qiaoxuan Wang, Zilong Zhong, Dongchao Qiu, Yunfan Liu, Kefei Zhao, Xiaofei Dong, Changyou Gao   +9 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Image Caption Generator

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
An Image Caption Generator is a sophisticated AI system that combines computer vision and natural language processing to automatically create descriptive textual captions for images. This technology utilizes deep learning, particularly Convolutional Neural Networks (CNNs), to analyze and extract meaningful visual features from the input image.
openaire   +2 more sources

Predicting abnormality-guided multimodal linguistic semantics Arabic image captioning

Machine Learning with Applications
Deep learning has significantly advanced image captioning tasks, enabling models to generate accurate, descriptive sentences from visual content. While much progress has been made in English-language image captioning, Arabic remains underexplored despite
Nahla Aljojo, Hanin Ardah, Araek Tashkandi, Safa Habibullah   +3 more
doaj   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

Advanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao, Ruixue Nie, Hailu Fan, Tenzin Ngodroup, Li Zhu, Hongbin Pan, Bo Zhang, Hao Zhang   +7 more
wiley   +1 more source