Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

no code implementations • 7 Mar 2017 • Sajib Kumar Saha, Basura Fernando, Jorge Cuadros, Di Xiao, Yogesan Kanagasingam

Three retinal image analysis experts were employed to categorize these images into Accept and Reject classes based on the precise definition of image quality in the context of DR. A deep learning framework was trained using 3428 images.

Image Quality Assessment

Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors

no code implementations • 3 May 2015 • Basura Fernando, Sezer Karaoglu, Sajib Kumar Saha

This paper presents a novel multi scale gradient and a corner point based shape descriptors.

Classification General Classification +4