3 citations · 4 across the 6 of their papers we have counts for
6 papers
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Junliang Du, Yiru Cang, Tong Zhou +2
This study introduces the Hybrid Multi-modal VGG (HM-VGG) model, a cutting-edge deep learning approach for the early diagnosis of glaucoma. The HM-VGG model utilizes an attention m…
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
Jiacheng Hu, Yiru Cang, Guiran Liu +3
This paper proposes a medical literature summary generation method based on the BERT model to address the challenges brought by the current explosion of medical information. By fin…
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection
Weijie He, Runyuan Bao, Yiru Cang +3
This paper delves into the challenges and advancements in the field of medical image segmentation, particularly focusing on breast cancer diagnosis. The authors propose a novel Tra…
Convolutional Neural Networks for Predictive Modeling of Lung Disease
Yingbin Liang, Xiqing Liu, Haohao Xia +3
In this paper, Pro-HRnet-CNN, an innovative model combining HRNet and void-convolution techniques, is proposed for disease prediction under lung imaging. Through the experimental c…
A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
Yihao Zhong, Yijing Wei, Yingbin Liang +3
In this paper, an image recognition algorithm based on the combination of deep learning and generative adversarial network (GAN) is studied, and compared with traditional image rec…
Advanced Multimodal Deep Learning Architecture for Image-Text Matching
Jinyin Wang, Haijing Zhang, Yihao Zhong +3
Image-text matching is a key multimodal task that aims to model the semantic association between images and text as a matching relationship. With the advent of the multimedia infor…