Abbas Fadhil Salih

Abbas Fadhil Salih is a PhD researcher specializing in computer vision, digital medicine, and biomedical image analysis. His work focuses on the development of hybrid deep learning frameworks for the segmentation of linear anatomical structures, particularly retinal vessels. By integrating U-Net architectures with Extreme Learning Machines, self-supervised learning, and transformer-based mechanisms, he has proposed innovative solutions that achieve high accuracy with limited data, while ensuring computational efficiency and deployability in real-world healthcare environments. His research bridges algorithmic design with practical software solutions, contributing to both theoretical advancement and clinical impact in digital ophthalmology.