Screening of Glaucoma disease from retinal vessel images using semantic segmentation

A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation

(2019) Ahsan Khawaja et al.   SENSORS

RACE-net: A Recurrent Neural Network for Biomedical Image Segmentation

(2018) Arunava Chakravarty et al.   IEEE Journal of Biomedical and Health Informatics

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

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

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

Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques

(2017) Dawid Połap et al.   SENSORS

Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

(2013) Jun Cheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Depth Discontinuity-Based Cup Segmentation From Multiview Color Retinal Images

(2012) G. Joshi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment

(2011) G D Joshi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING