A fine‐to‐coarse‐to‐fine weakly supervised framework for volumetric SD‐OCT image segmentation-Reference-Cited by-同舟云学术

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A fine‐to‐coarse‐to‐fine weakly supervised framework for volumetric SD‐OCT image segmentation

Published:2022-09-29 Issue:2 Volume:17 Page:123-134
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Niu Sijie¹²^ORCID,Xing Ruiwen¹²,Gao Xizhan¹²,Liu Tingting³,Chen Yuehui¹²

Affiliation:

1. School of Information Science and Engineering University of Jinan Jinan China

2. Shandong Provincial Key Laboratory of Network‐based Intelligent Computing Jinan China

3. Shandong Eye Institute Shandong First Medical University & Shandong Academy of Medical Sciences Jinan China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12139

Reference40 articles.

1. Active contours without edges

2. Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging

3. Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images

4. Three-dimensional continuous max flow optimization-based serous retinal detachment segmentation in SD-OCT for central serous chorioretinopathy

5. Automated volumetric segmentation of retinal fluid on optical coherence tomography

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2. Deep learning network (DL-Net) based classification and segmentation of multi-class retinal diseases using OCT scans;Biomedical Signal Processing and Control;2024-02

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