A5045628358- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Radiomics and Machine Learning in Medical Imaging
- Ultrasound in Clinical Applications
- Ultrasound and Hyperthermia Applications
- Digital Imaging for Blood Diseases
- Retinal Diseases and Treatments
Western University
2023-2024
The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) a cost-effective manner, making screening more accessible. While AI models for from CFPs have shown promising results laboratory settings, their performance decreases significantly real-world scenarios due the presence out-of-distribution and low-quality images. To address this issue, we propose Intelligence Robust Glaucoma...
Deep learning (DL) models for medical image classification frequently struggle to generalize data from outside institutions. Additional clinical are also rarely collected comprehensively assess and understand model performance amongst subgroups. Following the development of a single-center identify lung sliding artifact on ultrasound (LUS), we pursued validation strategy using external LUS data. As annotated relatively scarce—compared other imaging data—we adopted novel technique optimize...
The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) a cost-effective manner, making screening more accessible. While AI models for from CFPs have shown promising results laboratory settings, their performance decreases significantly real-world scenarios due the presence out-of-distribution and low-quality images. To address this issue, we propose Intelligence Robust Glaucoma...