4 papers
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process
Tianyu Lin, Zhiguang Chen, Zhonghao Yan +2
Diffusion models have demonstrated their effectiveness across various generative tasks. However, when applied to medical image segmentation, these models encounter several challeng…
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
Zheng Chu, Jingchang Chen, Qianglong Chen +6
Large language models (LLMs) have demonstrated strong reasoning capabilities. Nevertheless, they still suffer from factual errors when tackling knowledge-intensive tasks. Retrieval…
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
Fudan Zheng, Jindong Cao, Weijiang Yu +3
Most advances in medical image recognition supporting clinical auxiliary diagnosis meet challenges due to the low-resource situation in the medical field, where annotations are hig…
Intensive Vision-guided Network for Radiology Report Generation
Fudan Zheng, Mengfei Li, Ying Wang +5
Automatic radiology report generation is booming due to its huge application potential for the healthcare industry. However, existing computer vision and natural language processin…