Eye3DVas: three-dimensional reconstruction of retinal vascular structures by integrating fundus image features
| Autor: | Zhaomin Yao, Zhiruo Zhang, Kunlin He, Yilin Hou, Bowen Shao, Xiaohan Sun, Gancheng Zhu, Shuai Liu, Huahui Zhou, Chencong Xing, Meiyu Duan, Fengfeng Zhou, Jianyuan Zhang, Lan Huang, Yang Tao, Zhenyu Zhang |
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| Rok vydání: | 2020 |
| Předmět: |
Retina
medicine.medical_specialty Computer science Fundus image Glaucoma Diagnostic accuracy Retinal 02 engineering and technology Fundus (eye) 021001 nanoscience & nanotechnology medicine.disease 01 natural sciences Edge detection 010309 optics chemistry.chemical_compound medicine.anatomical_structure chemistry Ophthalmology 0103 physical sciences medicine Segmentation 0210 nano-technology |
| Zdroj: | Frontiers in Optics / Laser Science. |
| DOI: | 10.1364/fio.2020.jtu1b.22 |
| Popis: | Two-dimensional images of fundus blood vessels are easy to obtain with low diagnostic accuracy. This study realized the reconstruction of three-dimensional vascular structures from two-dimensional fundus images to improve the accuracy to 95%. |
| Databáze: | OpenAIRE |
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