Retinal vascular segmentation using superpixel‐based line operator and its application to vascular topology estimation-Reference-Cited by-同舟云学术

Retinal vascular segmentation using superpixel‐based line operator and its application to vascular topology estimation

Published:2018-05-23 Issue:7 Volume:45 Page:3132-3146
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Na Tong¹²³,Xie Jianyang²³,Zhao Yitian²³,Zhao Yifan⁴,Liu Yue³,Wang Yongtian³,Liu Jiang²

Affiliation:

1. Georgetown Preparatory School North Bethesda 20852USA

2. Cixi Institute of Biomedical Engineering Ningbo Institute of Industrial Technology Chinese Academy of Sciences Ningbo 315201China

3. Beijing Engineering Research Center of Mixed Reality and Advanced Display School of Optics and Electronics Beijing Institute of Technology Beijing 10081China

4. School of Aerospace, Transport and Manufacturing Cranfield University Cranfield MK43 0ALUK

Funder

National Natural Science Foundation of China

China Association for Science and Technology

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.12953

Reference54 articles.

1. Intensity and Compactness Enabled Saliency Estimation for Leakage Detection in Diabetic and Malarial Retinopathy

2. Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy

3. A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images

4. Retinal Artery-Vein Classification via Topology Estimation

5. Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

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