AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT Images

Yujia Yuan, Deqiang Xiao*, Shuo Yang, Zongyu Li, Haixiao Geng, Ying Gu, Jian Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Accurate liver vessel segmentation from CT images is essential in computer aided diagnosis and surgery. However, due to the complex structures of liver vessels, it is difficult to extract small vessels and edge vessels from the images. Therefore, we propose an adaptive feature fusion network (AFF-Net) to accurately segment vessels from liver CT images. The AFF-Net contains three novel components: 1) An adaptive feature connection (AFC) module is designed to suppress image background noise to accurately extract small vessels; 2) An enhanced auxiliary (EA) module is proposed to fully utilize the topological information of vessels to improve the segmentation integrity; 3) A global information supervision (GIS) module is introduced to extract liver edge features to improve edge vessel segmentation accuracy. Experiments on public datasets show that our method achieves the Dice score of 0.72 and the sensitivity score of 0.73, showing much higher accuracy than related methods.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
PublisherIEEE Computer Society
ISBN (Electronic)9781665473583
DOIs
Publication statusPublished - 2023
Event20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombia
Duration: 18 Apr 202321 Apr 2023

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2023-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
Country/TerritoryColombia
CityCartagena
Period18/04/2321/04/23

Keywords

  • Adaptive feature fusion
  • CT image
  • Deep learning
  • Liver vessel
  • Segmentation

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Cite this

Yuan, Y., Xiao, D., Yang, S., Li, Z., Geng, H., Gu, Y., & Yang, J. (2023). AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT Images. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/ISBI53787.2023.10230765