Large-scale long-tailed disease diagnosis on radiology images
Abstract Developing a generalist radiology diagnosis system can greatly enhance clinical diagnostics. In this paper, we introduce RadDiag, a foundational model supporting 2D and 3D inputs across various modalities and anatomies, using a transformer-based fusion module for comprehensive disease diagn...
Saved in:
| Main Authors: | Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-54424-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data
by: Chaoyi Wu, et al.
Published: (2025-08-01) -
Modeling of long-term radiological and toxicological impacts of the uranium mill tailings on groundwater and surface water
by: B. Yu. Zanoz, et al.
Published: (2024-09-01) -
Assessment of the radiological safety of Pridneprovskiy chemical plant's tailings
by: V. K. Kyrychenko, et al.
Published: (2012-09-01) -
Radiology-GPT: A large language model for radiology
by: Zhengliang Liu, et al.
Published: (2025-06-01) -
FLRF: Federated recommendation optimization for long-tail data distribution
by: Zaigang Gong, et al.
Published: (2024-12-01)