10 citations · 10 across the 3 of their papers we have counts for
5 papers
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
Yinqiu Feng, Aoran Shen, Jiacheng Hu +3
This paper presents an innovative approach to enhancing few-shot learning by integrating data augmentation with model fine-tuning in a framework designed to tackle the challenges p…
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
Yang Lin, Muqing Li, Ziyi Zhu +3
The prediction of disease risk factors can screen vulnerable groups for effective prevention and treatment, so as to reduce their morbidity and mortality. Machine learning has a gr…
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
Lingxi Xiao, Jinxin Hu, Yutian Yang +3
Most of the existing wavelet image processing techniques are carried out in the form of single-scale reconstruction and multiple iterations. However, processing high-quality fMRI d…
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data
Lingxi Xiao, Muqing Li, Yinqiu Feng +3
The research explores the utilization of a deep learning model employing an attention mechanism in medical text mining. It targets the challenge of analyzing unstructured text info…
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
Yinqiu Feng, Bo Zhang, Lingxi Xiao +3
In this research, we introduce an innovative method for synthesizing medical images using generative adversarial networks (GANs). Our proposed GANs method demonstrates the capabili…