PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net. (arXiv:2208.09636v1 [eess.IV])

In this work, we present our proposed method to segment the pulmonary
arteries from the CT scans using Swin UNETR and U-Net-based deep neural network
architecture. Six models, three models based on Swin UNETR, and three models
based on 3D U-net with residual units were ensemble using a weighted average to
make the final segmentation masks. Our team achieved a multi-level dice score
of 84.36 percent through this method. The code of our work is available on the
following link: …

arxiv challenge segmentation swin transformer