Results 251 to 260 of about 2,301,308 (387)
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng +8 more
wiley +1 more source
Passive Violation of Consumers' Privacy Rights on the Internet in the Age of Emerging Data Capital
Anan Sh
openalex +1 more source
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli +3 more
wiley +1 more source
openaire +1 more source
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
Common intrusion factors and improvement measures based on case study of privacy impact assessment. [PDF]
Yi JS, Jang DS, Hong YS.
europepmc +1 more source
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun +3 more
wiley +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source

