The RSNA Abdominal Traumatic Injury CT (RATIC) dataset Journal Article
| Authors: | Rudie, J. D.; Lin, H. M.; Ball, R. L.; Jalal, S.; Prevedello, L. M.; Nicolaou, S.; Marinelli, B. S.; Flanders, A. E.; Magudia, K.; Shih, G. R.; Davis, M. A.; Mongan, J.; Chang, P. D.; Berger, F. H.; Hermans, S.; Law, M.; Richards, T.; Grunz, J. P.; Kunz, A. S.; Mathur, S.; Galea-Soler, S.; Chung, A. D.; Afat, S.; Kuo, C. C.; Aweidah, L.; Campos, A. V.; Somasundaram, A.; Sanchez Tijmes, F. A.; Jantarangkoon, A.; Bittencourt, L. K.; Brassil, M.; El Hajjami, A.; Dogan, H.; Becircic, M.; Bharatkumar, A. G.; Júdice de Mattos Farina, E. M.; Colak, E.; for the Dataset Curator Group; Dataset Contributor Group; Dataset Annotator Group |
| Article Title: | The RSNA Abdominal Traumatic Injury CT (RATIC) dataset |
| Abstract: | The RSNA Abdominal Traumatic Injury CT (ie, RATIC) dataset contains 4274 abdominal CT studies with annotations related to traumatic injuries and is available at https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection and https://imaging.rsna. org/dataset/5. |
| Keywords: | spleen; liver; kidney; ct; trauma; small bowel; large bowel |
| Journal Title: | Radiology: Artificial Intelligence |
| Volume: | 6 |
| Issue: | 6 |
| ISSN: | 2638-6100 |
| Publisher: | Radiological Society of North America, Inc. |
| Date Published: | 2024-11-01 |
| Start Page: | e240101 |
| Language: | English |
| ACCESSION: | WOS:001414858400004 |
| DOI: | 10.1148/ryai.240101 |
| PROVIDER: | wos |
| PMCID: | PMC11605137 |
| PUBMED: | 39441109 |
| Notes: | Source: Wos |
