1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis
Haowei Yang, Yuxiang Hu, Shuyao He +3
This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image se…
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
Houze Liu, Iris Li, Yaxin Liang +3
Neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a lar…
Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
Qishi Zhan, Dan Sun, Erdi Gao +3
This study introduces a novel unsupervised medical image feature extraction method that employs spatial stratification techniques. An objective function based on weight is proposed…
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis
Yuxiang Hu, Haowei Yang, Ting Xu +3
The diagnosis of brain cancer relies heavily on medical imaging techniques, with MRI being the most commonly used. It is necessary to perform automatic segmentation of brain tumors…