Auto3DSeg for Brain Tumor Segmentation from 3D MRI in BraTS 2023 Challenge
Andriy Myronenko, Dong Yang, Yufan He, and Daguang Xu

TL;DR
Auto3DSeg from MONAI was used to achieve top-ranking results in multiple brain tumor segmentation challenges at BraTS 2023, demonstrating its effectiveness across various tumor types.
Contribution
This work applies Auto3DSeg to multiple brain tumor segmentation challenges, showcasing its state-of-the-art performance and versatility in medical image analysis.
Findings
First place in Brain Metastasis, Brain Meningioma, BraTS-Africa challenges
Second place in Adult and Pediatric Glioma challenges
Demonstrated effectiveness of Auto3DSeg across diverse tumor types
Abstract
In this work, we describe our solution to the BraTS 2023 cluster of challenges using Auto3DSeg from MONAI. We participated in all 5 segmentation challenges, and achieved the 1st place results in three of them: Brain Metastasis, Brain Meningioma, BraTS-Africa challenges, and the 2nd place results in the remaining two: Adult and Pediatic Glioma challenges.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
