Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine

A novel method for automated correction of non-uniform/poor illumination of retinal images without creating false artifacts

(2018) Sajib Saha et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Retinal Image Analysis for Diabetic Retinopathy in Telemedicine

(2015) Dawn A. Sim et al.   Current Diabetes Reports

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Retinal image quality assessment using generic image quality indicators

(2012) João Miguel Pires Dias et al.   Information Fusion

Automated quality assessment of retinal fundus photos

(2010) Jan Paulus et al.   International Journal of Computer Assisted Radiology and Surgery

Automated quality evaluation of digital fundus photographs

(2009) Herman Bartling et al.   ACTA OPHTHALMOLOGICA