Classification of retinal images based on convolutional neural network

Automatic optic disc detection in colour fundus images by means of multispectral analysis and information content

(2019) M. Elena Martinez-Perez et al.   PeerJ

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

(2019) Zaiwang Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Retinal blood vessel segmentation from diabetic retinopathy images using tandem PCNN model and deep learning based SVM

(2019) T. Jemima Jebaseeli et al.   OPTIK

Adaptive Region Proposal With Channel Regularization for Robust Object Tracking

(2019) Xiankai Lu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Segmentation of retinal blood vessels from ophthalmologic Diabetic Retinopathy images

(2018) T. Jemima Jebaseeli et al.   COMPUTERS & ELECTRICAL ENGINEERING

Retinal Blood Vessel Segmentation by Using Matched Filtering and Fuzzy C-means Clustering with Integrated Level Set Method for Diabetic Retinopathy Assessment

(2018) Nogol Memari et al.   Journal of Medical and Biological Engineering

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

Scale Selection Properties of Generalized Scale-Space Interest Point Detectors

(2012) Tony Lindeberg   JOURNAL OF MATHEMATICAL IMAGING AND VISION