Published Paper Details:

This comprehensive survey study investigates retinal blood vessel separation techniques, gathering insights from ophthalmologists and retinal imaging specialists in India. The study addresses the significance of these techniques in the field of ophthalmology and retinal imaging, emphasizing their role in clinical diagnosis and research. Drawing from a diverse sample of professionals, the research examines the effectiveness of current separation methods, awareness of recent advancements, and the potential of artificial intelligence (AI) in improving these techniques. Additionally, it explores the challenges faced in retinal blood vessel segmentation and the primary imaging modalities used in practice. Ethical and privacy concerns related to AI-based segmentation are also examined. The study's findings offer valuable insights into the perceptions and practices of Indian professionals in the field, with implications for training, software development, ethics, and the integration of AI. This research contributes to the broader understanding of retinal imaging practices in India and provides recommendations for businesses and policymakers to enhance the quality of eye care in the country.