Results 141 to 150 of about 152,315 (333)

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training [PDF]

The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging analysis. However, the distinct complexities of radiologic 2D and 3D radiologic data pose unique challenges that existing models, pre-trained on general non-medical images, fail ...
arxiv   +1 more source

Non‐Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi‐Center Cohort Study

Advanced Science, EarlyView.
This study introduces a deep learning model that predicts tumor budding (TB) status in bladder cancer through the analysis of CT images. The model effectively identifies patients with high TB status, correlating with poorer prognosis and reduced responsiveness to neoadjuvant chemoimmunotherapy. This tool offers significant potential to inform prognosis
Xiaoyang Li, Chen Zou, Chunhui Wang, Cheng Chang, Yi Lin, Shuai Liang, Haoran Zheng, Libo Liu, Kai Deng, Lin Zhang, Bohao Liu, Mingchao Gao, Peicong Cai, Jianwen Lao, Longhao Xu, Daqin Wu, Xiao Zhao, Xiao Wu, Xinyuan Li, Yun Luo, Wenlong Zhong, Tianxin Lin   +21 more
wiley   +1 more source

Ruthenium Single‐Atom Nanozyme Driven Sonosensitizer with Oxygen Vacancies Enhances Electron–Hole Separation Efficacy and Remodels Tumor Microenvironment for Sonodynamic‐Amplified Ferroptosis

Advanced Science, EarlyView.
An atomic‐level engineered ruthenium single‐atom nanozyme is fabricated that features sufficient oxygen vacancies and electron and hole separation efficiency, which enhances response to the sono‐suppressive tumor microenvironment and induces tumor ferroptosis.
Yang Zhu, Dengliang Wang, Chengzhong Du, Tiantian Wu, Penghui Wei, Hongjia Zheng, Guanting Li, ShunZhe Zheng, Lichao Su, Lingjun Yan, Yongrui Hu, Huimin Wang, Lisen Lin, Chenyu Ding, Xiaoyuan Chen   +14 more
wiley   +1 more source

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images [PDF]

arXiv
Medical anomaly detection (AD) is crucial for early clinical intervention, yet it faces challenges due to limited access to high-quality medical imaging data, caused by privacy concerns and data silos. Few-shot learning has emerged as a promising approach to alleviate these limitations by leveraging the large-scale prior knowledge embedded in vision ...
arxiv  

Focal Spot, Fall/Winter 1994 [PDF]

, 1994
https://digitalcommons.wustl.edu/focal_spot_archives/1068/thumbnail ...

core   +1 more source

Dual‐Energy CT‐Based Assessment of Thrombotic Heterogeneity for Predicting Stroke Source and Response to Machine Thrombectomy: A Step Toward Visualization Thrombus Treatment

Advanced Science, EarlyView.
The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang, Sijia Wang, Fan Xiao, Hongmei Gu, Mingkang Wang, Hao Tian, Baohui Guan, Kai Sheng, Yijia Xiong, Huilin Zhao, Minda Li, Li Xu, Zheng Sun, Haiyan Du, Wenxian Du, Yuehua Li   +15 more
wiley   +1 more source

Focal Spot, Spring 1990 [PDF]

, 1990
https://digitalcommons.wustl.edu/focal_spot_archives/1054/thumbnail ...

core   +1 more source

In Situ Proliferating Peptide Nanoparticle Augments Multi‐Target Intervention of Secondary Brain Damage Following Subarachnoid Hemorrhage

Advanced Science, EarlyView.
This work designs an in situ proliferating peptide nanoparticle as a flexible resolution that modulates the neuro‐glia unit to enable enhanced multi‐target combinational therapy for secondary brain damage following subarachnoid hemorrhage. Abstract Subarachnoid hemorrhage (SAH), a lethal stroke subtype, involves complex pathological cascades triggered ...
Yibin Zhang, Peisen Yao, Fuxiang Chen, Shufa Zheng, Xuegang Niu, Haojie Wang, Yuanxiang Lin, Bin Gao, Dezhi Kang   +8 more
wiley   +1 more source

Focal Spot, Fall/Winter 1987 [PDF]

, 1987
https://digitalcommons.wustl.edu/focal_spot_archives/1047/thumbnail ...

core   +1 more source

Bimetallic Ca/Zn Nanoagonist Remould the Immunosuppressive Hepatocellular Carcinoma Microenvironment Following Incomplete Microwave Ablation via Pyroptosis and the STING Signaling Pathway

Advanced Science, EarlyView.
The multifunctional bimetallic Ca/Zn nanoagonist (PZH/Zn@CaNA) significantly downregulated the JAK2‐STAT3 signaling pathway, which effectively inhibited the proliferation and growth of HCC with incomplete microwave ablation. Furthermore, the released bimetallic ions (Ca2⁺ and Zn2⁺) synergistically enhanced oxidative stress‐mediated cytotoxicity ...
Yuan Ling, Xiayi Liang, Kangning Yan, Guichun Zeng, Xiaoqi Zhu, Jinghang Jiang, Shaolong Lu, Xiaobo Wang, Yuying Zhou, Zhaoshen Li, Wei Mai, Duo Wang, Jie Chen   +12 more
wiley   +1 more source