3 papers
cs.CV2025
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
Yanzhao Shi, Xiaodan Zhang, Junzhong Ji +4
Automated 3D CT diagnosis empowers clinicians to make timely, evidence-based decisions by enhancing diagnostic accuracy and workflow efficiency. While multimodal large language mod…
cs.AI2025
MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji +2
The automatic generation of brain CT reports has gained widespread attention, given its potential to assist radiologists in diagnosing cranial diseases. However, brain CT scans inv…
cs.CV2024
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
Chengxin Zheng, Junzhong Ji, Yanzhao Shi +2
Brain CT report generation is significant to aid physicians in diagnosing cranial diseases. Recent studies concentrate on handling the consistency between visual and textual pathol…