DeepAI AI Chat
Log In Sign Up

Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution

12/19/2022
by   Ramy A. Zeineldin, et al.
0

Automatic segmentation is essential for the brain tumor diagnosis, disease prognosis, and follow-up therapy of patients with gliomas. Still, accurate detection of gliomas and their sub-regions in multimodal MRI is very challenging due to the variety of scanners and imaging protocols. Over the last years, the BraTS Challenge has provided a large number of multi-institutional MRI scans as a benchmark for glioma segmentation algorithms. This paper describes our contribution to the BraTS 2022 Continuous Evaluation challenge. We propose a new ensemble of multiple deep learning frameworks namely, DeepSeg, nnU-Net, and DeepSCAN for automatic glioma boundaries detection in pre-operative MRI. It is worth noting that our ensemble models took first place in the final evaluation on the BraTS testing dataset with Dice scores of 0.9294, 0.8788, and 0.8803, and Hausdorf distance of 5.23, 13.54, and 12.05, for the whole tumor, tumor core, and enhancing tumor, respectively. Furthermore, the proposed ensemble method ranked first in the final ranking on another unseen test dataset, namely Sub-Saharan Africa dataset, achieving mean Dice scores of 0.9737, 0.9593, and 0.9022, and HD95 of 2.66, 1.72, 3.32 for the whole tumor, tumor core, and enhancing tumor, respectively. The docker image for the winning submission is publicly available at (https://hub.docker.com/r/razeineldin/camed22).

READ FULL TEXT
12/13/2021

Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI

Glioblastomas are the most aggressive fast-growing primary brain cancer ...
05/24/2021

Brain tumour segmentation using a triplanar ensemble of U-Nets

Gliomas appear with wide variation in their characteristics both in term...
09/09/2017

Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation

Deep learning has quickly become the weapon of choice for brain lesion s...
12/09/2021

Extending nn-UNet for brain tumor segmentation

Brain tumor segmentation is essential for the diagnosis and prognosis of...
12/02/2022

Investigating certain choices of CNN configurations for brain lesion segmentation

Brain tumor imaging has been part of the clinical routine for many years...
12/24/2021

Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge

Brain tumor segmentation from multiple Magnetic Resonance Imaging (MRI) ...