Automated Detection of Diabetic Retinopathy Lesions on Ultrawidefield Pseudocolour Images

Purpose: We examined the sensitivity and specificity of an automated algorithm for detecting referral-warranted diabetic retinopathy (DR) on Optos ultrawide-field (UWF) pseudocolour images. Methods: Patients with diabetes were recruited for UWF imaging. A total of 383 subjects (754 eyes) were enrolled. Nonproliferative DR graded to be moderate or higher on the 5-level International Clinical Diabetic

Clinical Validation of Diabetic Retinopathy Lesion Segmentation in Ultra-Widefield Images

Purpose : Ultra-widefield (UWF) scanning laser ophthalmoscopy (SLO) imaging is a promising modality for diabetic retinopathy (DR). Manual segmentation of lesions on UWF images can be labor-intensive and error-prone. Therefore, there is a need for an automated lesion segmentation tool for UWF images. Methods : Our novel UWF retinal image analysis framework comprises of the following steps: