no code implementations • 25 May 2024 • Junlin Song, Yuzhuo Chen, Yuan YAO, Zetong Chen, Renhao Guo, Lida Yang, Xinyi Sui, Qihang Wang, Xijiao Li, Aihua Cao, Wei Li
To address this gap, we develop a computer-aided diagnostic model focusing on white matter regions in brain MRI by employing radiomics and machine learning methods.
no code implementations • 25 May 2024 • Yuzhuo Chen, Zetong Chen, Yuanyuan Liu
The results shows that our proposed UNet-SVE-VGG-MLP model has the optimal performance for classifying diseases related to retinal fundus images on the STARE database, with a overall accuracy of 99. 96% and a weighted AUC of 99. 98% for the 14 categories on test dataset.
no code implementations • 25 May 2024 • Yuzhuo Chen, Zetong Chen, Yunuo An, Chenyang Lu, Xu Qiao
In this study, we propose a novel dual-branch network Dual Attention Feature Fusion Network (DAFFNet), which for the first time integrates the high-level semantic features with morphological features of WBC to achieve accurate classification.
1 code implementation • 14 Mar 2024 • Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong
Additionally, We find that most of the solutions to long-tailed problems are still biased towards head classes in the end, and we propose a simple and post hoc prediction re-balancing strategy to further mitigate the basis toward head class.
no code implementations • 9 May 2023 • Wei Qin, Zetong Chen, Lei Wang, Yunshi Lan, Weijieying Ren, Richang Hong
This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive.