A Teleophthalmology Support System Based on the Visibility of Retinal Elements Using the CNNs

Satisfaction of patients and primary care professionals with a teleophthalmology-based screening programme for diabetic retinopathy in a rural area in Castilla y León, Spain

(2020) Yolanda Valpuesta Martin et al.   Rural and Remote Health

Combination of Global Features for the Automatic Quality Assessment of Retinal Images

(2019) Jorge Jiménez-García et al.   Entropy

Fast macula detection and application to retinal image quality assessment

(2019) Robin Alais et al.   Biomedical Signal Processing and Control

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

(2018) Sajib Kumar Saha et al.   JOURNAL OF DIGITAL IMAGING

Retinal image quality assessment using deep learning

(2018) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs

(2016) Shaoze Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases

(2015) Muhammad Salman Haleem et al.   IEEE Journal of Biomedical and Health Informatics

Identification of suitable fundus images using automated quality assessment methods

(2014) Ugur Sevik et al.   JOURNAL OF BIOMEDICAL OPTICS

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Retinal image quality assessment using generic image quality indicators

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

Optic disc localization in retinal images using histogram matching

(2012) Amin Dehghani et al.   EURASIP Journal on Image and Video Processing

Automated quality assessment of retinal fundus photos

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

Multi-scale retinal vessel segmentation using line tracking

(2009) Marios Vlachos et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Parallel Multiscale Feature Extraction and Region Growing: Application in Retinal Blood Vessel Detection

(2009) M.A. Palomera-Perez et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE