首页|A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation

A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation

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As a highly vascular eye part,the choroid is crucial in various eye disease diagnoses.However,limited re-search has focused on the inner structure of the choroid due to the challenges in obtaining sufficient accurate label data,particularly for the choroidal vessels.Meanwhile,the existing direct choroidal vessel segmentation methods for the intelli-gent diagnosis of vascular assisted ophthalmic diseases are still unsatisfactory due to noise data,while the synergistic seg-mentation methods compromise vessel segmentation performance for the choroid layer segmentation tasks.Common cas-caded structures grapple with error propagation during training.To address these challenges,we propose a cascade learn-ing segmentation method for the inner vessel structures of the choroid in this paper.Specifically,we propose Transformer-Assisted Cascade Learning Network(TACLNet)for choroidal vessel segmentation,which comprises a two-stage training strategy:pre-training for choroid layer segmentation and joint training for choroid layer and choroidal vessel segmentation.We also enhance the skip connection structures by introducing a multi-scale subtraction connection module designated as MSC,capturing differential and detailed information simultaneously.Additionally,we implement an auxiliary Trans-former branch named ATB to integrate global features into the segmentation process.Experimental results exhibit that our method achieves the state-of-the-art performance for choroidal vessel segmentation.Besides,we further validate the significant superiority of the proposed method for retinal fluid segmentation in optical coherence tomography(OCT)scans on a publicly available dataset.All these fully prove that our TACLNet contributes to the advancement of choroidal ves-sel segmentation and is of great significance for ophthalmic research and clinical application.

choroidal vessel segmentationoptical coherence tomography(OCT)Transformer-assisted cascade learningretinal fluid segmentationmulti-scale feature extraction

温阳、吴依林、毕磊、石武祯、刘潇骁、许毓鹏、许迅、曹文明、冯大淦

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Guangdong Provincial Key Laboratory of Intelligent Information Processing,School of Electronics and Information Engi-neering,Shenzhen University,Shenzhen 518060,China

Institute of Translational Medicine,Shanghai Jiao Tong University,Shanghai 200240,China

Department of Ophthalmology,Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200080,China

School of Information Technologies,The University of Sydney,Sydney 2006,Australia

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaGuangdong Basic and Applied Basic Research FoundationGuangdong Basic and Applied Basic Research FoundationGuangdong Provincial Key Laboratory

6230133062101346202311211038070012022A15151101012023B1212060076

2024

10.1007/s11390-024-3679-2

计算机科学技术学报(英文版)
中国计算机学会

计算机科学技术学报(英文版)

CSTPCD
影响因子：0.432
ISSN：1000-9000
年,卷(期)：2024.39(2)