Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation

Shishuai Hu, Zehui Liao, Yong Xia

科研成果: 书/报告/会议事项章节会议稿件同行评审

32 引用 (Scopus)

摘要

Although deep learning models have achieved remarkable success in medical image segmentation, the domain shift issue caused mainly by the highly variable quality of medical images is a major hurdle that prevents these models from being deployed for real clinical practices, since no one can predict the performance of a ‘well-trained’ model on a set of unseen clinical data. Previously, many methods have been proposed based on, for instance, CycleGAN or the Fourier transform to address this issue, which, however, suffer from either an inadequate ability to preserve anatomical structures or unexpectedly introduced artifacts. In this paper, we propose a multi-source-domain unsupervised domain adaptation (UDA) method called Domain specific Convolution and high frequency Reconstruction (DoCR) for medical image segmentation. We design an auxiliary high frequency reconstruction (HFR) task to facilitate UDA, and hence avoid the interference of the artifacts generated by the low-frequency component replacement. We also construct the domain specific convolution (DSC) module to boost the segmentation model’s ability to domain-invariant features extraction. We evaluate DoCR on a benchmark fundus image dataset. Our results indicate that the proposed DoCR achieves superior performance over other UDA methods in multi-domain joint optic cup and optic disc segmentation. Code is available at: https://github.com/ShishuaiHu/DoCR.

源语言英语
主期刊名Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings
编辑Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
出版商Springer Science and Business Media Deutschland GmbH
650-659
页数10
ISBN(印刷版)9783031164484
DOI
出版状态已出版 - 2022
活动25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, 新加坡
期限: 18 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)
13437 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
国家/地区新加坡
Singapore
时期18/09/2222/09/22

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