Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component

Haojin Li, Heng Li*, Zhongxi Qiu, Yan Hu, Jiang Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

The morphological structure of retinal fundus blood vessels is of great significance for medical diagnosis, thus the automatic retinal vessel segmentation algorithm has become one of the research hotspots in the field of medical image processing. However, there are still several unsolved difficulties in this task: the existed methods are too sensitive to the low-frequency noise in the fundus images, and there are few annotated data sets available, and meanwhile, the retinal images of different datasets vary greatly. To solve the above problems, we propose a domain adaptive vessel segmentation algorithm with multiple image entrances called MIUnet, which is robust to the etiological noises and domain shift between diverse datasets. We apply Fourier domain adaptation and the high-frequency component filtering modules to transform the raw images into two styles, and simultaneously reduce the discrepancy between the source domain and target domain retinal images. After that, images produced by the two modules are fed into a multi-input deep segmentation model, and the full utilization of features from different modalities is ensured by the deep supervision mechanism. Experiments prove that, compared with other segmentation methods, the MIUnet has better performances in cross-domain experiments, where the IoU reaches 63% when trained on ARIA dataset and tested on the DRIVE dataset and 53% in the opposite direction.

源语言英语
主期刊名Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Proceedings
编辑Bhavna Antony, Huazhu Fu, Cecilia S. Lee, Tom MacGillivray, Yanwu Xu, Yalin Zheng
出版商Springer Science and Business Media Deutschland GmbH
115-124
页数10
ISBN(印刷版)9783031165245
DOI
出版状态已出版 - 2022
已对外发布
活动9th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022 - Singapore, 新加坡
期限: 22 9月 202222 9月 2022

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13576 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议9th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022
国家/地区新加坡
Singapore
时期22/09/2222/09/22

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引用此

Li, H., Li, H., Qiu, Z., Hu, Y., & Liu, J. (2022). Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component. 在 B. Antony, H. Fu, C. S. Lee, T. MacGillivray, Y. Xu, & Y. Zheng (编辑), Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Proceedings (页码 115-124). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 13576 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16525-2_12