5 papers
CS-MUNet: A Channel-Spatial Dual-Stream Mamba Network for Multi-Organ Segmentation
Yuyang Zheng, Mingda Zhang, Jianglong Qin +4
Recently Mamba-based methods have shown promise in abdominal organ segmentation. However, existing approaches neglect cross-channel anatomical semantic collaboration and lack expli…
A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet
Ruixiang Tang, Mingda Zhang, Jianglong Qin +3
Pleural effusion semantic segmentation can significantly enhance the accuracy and timeliness of clinical diagnosis and treatment by precisely identifying disease severity and lesio…
DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation
Mingda Zhang, Xun Ye, Ruixiang Tang +1
Medical image segmentation leverages topological connectivity theory to enhance edge precision and regional consistency. However, existing deep networks integrating connectivity of…
A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis
Mingda Zhang, Na Zhao, Jianglong Qin +2
Despite advances from medical large language models in healthcare, rare-disease diagnosis remains hampered by insufficient knowledge-representation depth, limited concept understan…
A Method for the Architecture of a Medical Vertical Large Language Model Based on Deepseek R1
Mingda Zhang, Jianglong Qin
Despite significant advances in foundation models like DeepSeek-R1 and ChatGPT, their deployment in medical settings faces critical challenges including computational requirements…