A5012195803- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Lung Cancer Treatments and Mutations
- Ocular Surface and Contact Lens
- Cancer therapeutics and mechanisms
- Retinopathy of Prematurity Studies
- Ophthalmology and Visual Impairment Studies
- Cancer Genomics and Diagnostics
- Lung Cancer Research Studies
- Acute Ischemic Stroke Management
- Radiomics and Machine Learning in Medical Imaging
- Corneal surgery and disorders
Sun Yat-sen University
2024
Background: Previous large-scale myopia management models utilized hospital data to predict progression in already myopic children. However, there is a notable gap forecasting onset, as non-myopic children rarely present at hospital. Schools represent an ideal setting for monitoring both the occurrence and progression, yet deficiency school-level prediction management. Our study aimed train school-applicable model using derived from schools, test across multiple centers collected settings...
The purpose of this study was to define the normal range peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell (mGCL), and inner plexiform (mIPL) thickness in cynomolgus macaques, explore their inter-relationship correlation with age, refractive errors, axial length (AL).
<title>Abstract</title> Pathologic myopia (PM) has long been a leading cause of visual impairment and blindness. While numerous deep learning-based approaches have improved the efficiency accuracy recognizing PM, few thoroughly investigated clinically significant pathological patterns due to scarcity datasets with lesion-wise labeling, particularly those comprising ultra-widefield (UWF) images that encompass broader retinal field view. In this study, we gather large-scale multi-source...