Shi, Jun, Wang, Zhaohui, Kan, Hongyu, Zhao, Minfan, Xue, Xudong, Yan, Bing, An, Hong, Shen, Jianjun, Bartlett, Joseph, Lu, Wenqi and Duan, Jinming (2022) Automatic segmentation of target structures for total marrow and lymphoid irradiation in bone marrow transplantation. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 11-15 Jul 2022 ISBN 9781728127828. doi:10.1109/embc48229.2022.9871824 ISSN 2694-0604.
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Abstract
The use of total marrow and lymphoid irradiation (TMLI) as part of conditioning regimens for bone marrow transplantation is trending due to its advantages in disease control and low toxicity. Accurate contouring of target structures such as bone and lymph nodes plays an important role in irradiation planning. However, this process is often time-consuming and prone to inter-observer variation. Recently, deep learning methods such as convolutional neural networks (CNNs) and vision transformers have achieved tremendous success in medical image segmentation, therefore enabling fast semiautomatic radiotherapy planning. In this paper, we propose a dual-encoder U-shaped model named DE-Net, to automatically segment the target structures for TMLI. To enhance the learned features, the encoder of DE-Net is composed of parallel CNNs and vision transformers, which can model both local and global contexts. The multi-level features from the two branches are progressively fused by intermediate modules, therefore effectively preserving low-level details. Our experiments demonstrate that the proposed method achieves state-of-the-art results and a significant improvement in lymph node segmentation compared with existing methods.
Item Type: | Conference Item (Paper) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
SWORD Depositor: | Library Publications Router |
Publisher: | IEEE |
ISBN: | 9781728127828 |
ISSN: | 2694-0604 |
Official Date: | 8 September 2022 |
Dates: | Date Event 8 September 2022 Published |
DOI: | 10.1109/embc48229.2022.9871824 |
Status: | Peer Reviewed |
Publication Status: | Published |
Access rights to Published version: | Restricted or Subscription Access |
Conference Paper Type: | Paper |
Title of Event: | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
Type of Event: | Conference |
Location of Event: | Glasgow, Scotland, United Kingdom |
Date(s) of Event: | 11-15 Jul 2022 |
URI: | https://wrap.warwick.ac.uk/169337/ |
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