Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images-Reference-Cited by-同舟云学术

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Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images

Published:2021-09-10 Issue:1 Volume:32 Page:369-386
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Liu Xiaoming¹²^ORCID,Wang Shaocheng¹,Cao Jun¹,Zhang Ying³,Wang Man³

Affiliation:

1. School of Computer Science and Technology, Wuhan University of Science and technology Wuhan China

2. Hubei Province Key Laboratory of Intelligent Information Processing and Real‐time Industrial System Wuhan China

3. Wuhan Aier Eye Hospital Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22652

Reference44 articles.

1. Macular Edema: Definition and Basic Concepts

2. Age-related macular degeneration

3. Optical Coherence Tomography

4. RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

5. Speckle reducing bilateral filter for cattle follicle segmentation

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1. Enhancing point annotations with superpixel and confident learning guided for improving semi-supervised OCT fluid segmentation;Biomedical Signal Processing and Control;2024-08

2. Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography ‐ Neovascular Age related Macular degeneration retinal images using deep learning models;International Journal of Imaging Systems and Technology;2023-11-27

3. Loss-balanced parallel decoding network for retinal fluid segmentation in OCT;Computers in Biology and Medicine;2023-10

4. Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review;Computerized Medical Imaging and Graphics;2023-09

5. Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review;Biocybernetics and Biomedical Engineering;2023-01

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