4 papers · 1 filter
Fundus Image-based Glaucoma Screening via Retinal Knowledge-Oriented Dynamic Multi-Level Feature Integration
Yuzhuo Zhou, Chi Liu, Sheng Shen +9
While deep learning has advanced automated glaucoma screening via color fundus photography, existing purely data-driven models often overfit to confounding imaging artifacts and st…
Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration
Yuzhuo Zhou, Chi Liu, Sheng Shen +4
With the advancements in medical artificial intelligence (AI), fundus image classifiers are increasingly being applied to assist in ophthalmic diagnosis. While existing classificat…
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
Yinghe Zhang, Chi Liu, Shuai Zhou +2
Adversarial attacks pose a critical security threat to real-world AI systems by injecting human-imperceptible perturbations into benign samples to induce misclassification in deep…
Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek
Dongfu Xiao, Chen Gao, Zhengquan Luo +2
This study presents an empirical case study to assess the efficacy and reliability of DeepSeek-V3, an emerging large language model, within the context of computer education. The e…