Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

(2020) Sweta Bhattacharya et al.   Electronics

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

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

Modified Alexnet architecture for classification of diabetic retinopathy images

(2019) T. Shanthi et al.   COMPUTERS & ELECTRICAL ENGINEERING

Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading

(2019) Jaakko Sahlsten et al.   Scientific Reports

Dynamically enhanced static handwriting representation for Parkinson’s disease detection

(2019) Moises Diaz et al.   PATTERN RECOGNITION LETTERS

Implementing self adaptiveness in whale optimization for cluster head section in Internet of Things

(2018) M. Praveen Kumar Reddy et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

(2018) Jonathan Krause et al.   OPHTHALMOLOGY

Use of Data Visualisation for Zero-Day Malware Detection

(2018) Sitalakshmi Venkatraman et al.   Security and Communication Networks

Optimization of modular granular neural networks using a firefly algorithm for human recognition

(2017) Daniela Sánchez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Firefly algorithm with neighborhood attraction

(2017) Hui Wang et al.   INFORMATION SCIENCES

An Efficient System for Heart Disease Prediction Using Hybrid OFBAT with Rule-Based Fuzzy Logic Model

(2017) G. Thippa Reddy et al.   JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS

Variational mode decomposition based approach for accurate classification of color fundus images with hemorrhages

(2017) Salim Lahmiri et al.   OPTICS AND LASER TECHNOLOGY

Comparison of diabetic retinopathy classification using fluorescein angiography and optical coherence tomography angiography

(2016) Mário Soares et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review

(2016) Daniel Shu Wei Ting et al.   CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Evolving support vector machines using fruit fly optimization for medical data classification

(2016) Liming Shen et al.   KNOWLEDGE-BASED SYSTEMS

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

The progress in understanding and treatment of diabetic retinopathy

(2016) Alan W. Stitt et al.   PROGRESS IN RETINAL AND EYE RESEARCH

An ensemble-based system for automatic screening of diabetic retinopathy

(2014) Bálint Antal et al.   KNOWLEDGE-BASED SYSTEMS