A5041152990- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Optical Systems and Laser Technology
- Digital Imaging for Blood Diseases
- Space Satellite Systems and Control
- Reproductive Biology and Fertility
- Inertial Sensor and Navigation
Beihang University
2021-2023
Beijing Advanced Sciences and Innovation Center
2021-2023
Hefei Institute of Technology Innovation
2021-2023
Anhui Medical University
2023
Automatic classification of retinal arteries and veins plays an important role in assisting clinicians to diagnosis cardiovascular eye-related diseases. However, due the high degree anatomical variation across population, presence inconsistent labels by subjective judgment annotators available training data, most existing methods generally suffer from blood vessel discontinuity arteriovenous confusion, artery/vein (A/V) task still faces great challenges. In this work, we propose a...
Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration preventing blindness. A deep‐neural‐network model has been developed the based on Heidelberg retina tomography (HRT), called “Seeking Common Features Reserving Differences Net” (SCRD‐Net) to make full use HRT data. In this work, proposed SCRD‐Net achieved an area under curve (AUC) 94.0%. For two image modalities, sensitivities were 91.2% 78.3% at specificities 0.85 0.95, respectively. These results...
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