RSNA Intracranial Hemorrhage Detection Challenge (2019)

Intracranial hemorrhage (ICH) is a serious health problem often requiring rapid and intensive treatment. Identifying any hemorrhage present is a critical step in treating the patient. Radiologists must rapidly review images of the patient’s cranium to look for the presence, location and type of hemorrhage.

Could artificial intelligence be a tool for radiologists in the critical work of ICH detection?

To explore this question, RSNA worked with a consortium of research institutions, the American Society of Neuroradiology (ASNR), image annotation company MD.ai and competition platform provider Kaggle. We assembled a dataset of more than 25,000 annotated cranial CT exams and shared them with AI researchers in a competition to build the most effective algorithm to detect acute ICH and its subtypes.

Of the 1,345 teams from around the world who took part in the challenge, 10 winning teams were recognized in a presentation at the 2019 RSNA Annual Meeting and shared in prize money, generously provided by Kaggle, in recognition of the public value of the competition. In order to be eligible to receive awards, teams were required to publicly release their code, as well as presentations describing their solutions. These materials are linked below.

Dataset

Review the ICH Detection Challenge dataset description.

2019 RSNA ICH Detection Challenge: Winning entries

Team name Video Solution Code
SeuTao Video Solution Code
No Brainer Video Solution Code
Takuoko N/A Solution Code
GZ N/A Solution Code
Keep Digging Gold Video Solution Code
BRAINSCAN.AI Video Solution Code
Big Head Video Solution Code
賞金で焼肉 N/A Solution Code
Mind Blowers Video Solution Code
VinBDI.MedicalImagingTeam Video Solution Code
Team name: SeuTao
Video: Video
Solution: Solution
Code: Code
Team name: No Brainer
Video: Video
Solution: Solution
Code: Code
Team name: Takuoko
Video: N/A
Solution: Solution
Code: Code
Team name: GZ
Video: N/A
Solution: Solution
Code: Code
Team name: Keep Digging Gold
Video: Video
Solution: Solution
Code: Code
Team name: BRAINSCAN.AI
Video: Video
Solution: Solution
Code: Code
Team name: Big Head
Video: Video
Solution: Solution
Code: Code
Team name: 賞金で焼肉
Video: N/A
Solution: Solution
Code: Code
Team name: Mind Blowers
Video: Video
Solution: Solution
Code: Code
Team name: VinBDI.MedicalImagingTeam
Video: Video
Solution: Solution
Code: Code

Results

Access the ICH Detection Challenge results on the Kaggle website.

Access results


Terms of use and acknowledgments


Research citations for further reading

AE Flanders, LM Prevedello, G Shih, et al. Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology: Artificial Intelligence 2020;2:3.