Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy

Hybrid deep learning convolutional neural networks and optimal nonlinear support vector machine to detect presence of hemorrhage in retina

(2020) Salim Lahmiri   Biomedical Signal Processing and Control

Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

(2020) Wen-Shuai Hu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

(2019) D. Jude Hemanth et al.   NEURAL COMPUTING & APPLICATIONS

Interpretable Relative Squeezing bottleneck design for compact convolutional neural networks model

(2019) Qi Zhao et al.   IMAGE AND VISION COMPUTING

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

(2019) Tao Li et al.   INFORMATION SCIENCES

An automated early diabetic retinopathy detection through improved blood vessel and optic disc segmentation

(2019) Shailesh Kumar et al.   OPTICS AND LASER TECHNOLOGY

An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images

(2018) Kedir M. Adal et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning

(2018) Ling Dai et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images

(2018) D.C.T. Nguyen et al.   MEDICAL IMAGE ANALYSIS

Automatic detection and segmentation of optic disc and fovea in retinal images

(2018) Renoh Johnson Chalakkal et al.   IET Image Processing

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

Semi–Automatic Corpus Callosum Segmentation and 3D Visualization Using Active Contour Methods

(2018) Marcin Ciecholewski et al.   Symmetry-Basel

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

(2017) Jose Ignacio Orlando et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An edge-based active contour model using an inflation/deflation force with a damping coefficient

(2016) Marcin Ciecholewski   EXPERT SYSTEMS WITH APPLICATIONS

Superpixel-Based Segmentation for 3D Prostate MR Images

(2016) Zhiqiang Tian et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network

(2012) Hassan Masoumi et al.   Biomedical Signal Processing and Control