AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images

(2022) Anas Bilal et al.   Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

Survey on recent developments in automatic detection of diabetic retinopathy

(2021) A. Bilal et al.   JOURNAL FRANCAIS D OPHTALMOLOGIE

Breast cancer masses classification using deep convolutional neural networks and transfer learning

(2020) Shayma’a A. Hassan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Fundus image lesion detection algorithm for diabetic retinopathy screening

(2020) J. Kanimozhi et al.   Journal of Ambient Intelligence and Humanized Computing

Computer-Assisted Diagnosis for Diabetic Retinopathy Based on Fundus Images Using Deep Convolutional Neural Network

(2019) Yung-Hui Li et al.   Mobile Information Systems

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning

(2019) Juan J. Gómez-Valverde et al.   Biomedical Optics Express

A coarse-to-fine deep learning framework for optic disc segmentation in fundus images

(2019) Lei Wang et al.   Biomedical Signal Processing and Control

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning

(2019) Ruben Hemelings et al.   ACTA OPHTHALMOLOGICA

Referable Diabetic Retinopathy Identification from Eye Fundus Images with Weighted Path for Convolutional Neural Network

(2019) Yi-Peng Liu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior

(2019) Wei Zhou et al.   Computational and Mathematical Methods in Medicine

Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

(2019) Davood Karimi et al.   MEDICAL IMAGE ANALYSIS

Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images

(2019) Matteo Dunnhofer et al.   MEDICAL IMAGE ANALYSIS

Exudate detection in fundus images using deeply-learnable features

(2018) Parham Khojasteh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A survey of FPGA-based accelerators for convolutional neural networks

(2018) Sparsh Mittal   NEURAL COMPUTING & APPLICATIONS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System

(2015) T. Jaya et al.   JOURNAL OF DIGITAL IMAGING

Exudate detection in color retinal images for mass screening of diabetic retinopathy

(2014) Xiwei Zhang et al.   MEDICAL IMAGE ANALYSIS

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

(2014) Etienne Decencière et al.   Image Analysis & Stereology

An automated decision-support system for non-proliferative diabetic retinopathy disease based on MAs and HAs detection

(2012) Marwan D. Saleh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE