Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning

Identification of Diabetic Retinopathy Using Weighted Fusion Deep Learning Based on Dual-Channel Fundus Scans

(2022) Grace Ugochi Nneji et al.   Diagnostics

Modified residual networks for severity stage classification of diabetic retinopathy

(2022) Nitigya Sambyal et al.   Evolving Systems

Multiple lesion segmentation in diabetic retinopathy with dual-input attentive RefineNet

(2022) Yanfei Guo et al.   APPLIED INTELLIGENCE

Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives

(2022) Swagata Kundu et al.   JOURNAL OF DIGITAL IMAGING

Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions

(2022) Javaria Amin et al.   KNOWLEDGE-BASED SYSTEMS

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

(2022) Toufique A. Soomro et al.   IEEE Reviews in Biomedical Engineering

FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy

(2021) Yifei Xu et al.   Biomed Research International

An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

(2021) Muhammad Irfan Sharif et al.   Complex & Intelligent Systems

An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach

(2021) Javaria Amin et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Diabetic retinopathy detection and classification using capsule networks

(2021) G. Kalyani et al.   Complex & Intelligent Systems

An integrated framework for COVID ‐19 classification based on classical and quantum transfer learning from a chest radiograph

(2021) Muhammad Junaid Umer et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

EAD-Net: A Novel Lesion Segmentation Method in Diabetic Retinopathy Using Neural Networks

(2021) Cheng Wan et al.   DISEASE MARKERS

Presentation of a Segmentation Method for a Diabetic Retinopathy Patient’s Fundus Region Detection Using a Convolutional Neural Network

(2021) Amin Valizadeh et al.   Computational Intelligence and Neuroscience

A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models

(2021) Saba Saleem et al.   Complex & Intelligent Systems

Analysing stable feature selection through an augmented marine predator algorithm based on opposition‐based learning

(2021) Kulanthaivel Balakrishnan et al.   EXPERT SYSTEMS

Brain tumor detection based on extreme learning

(2020) Muhammad Sharif et al.   NEURAL COMPUTING & APPLICATIONS

Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks

(2020) Muhammad Mateen et al.   COMPLEXITY

Modified U-Net architecture for semantic segmentation of diabetic retinopathy images

(2020) Nitigya Sambyal et al.   Biocybernetics and Biomedical Engineering

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

(2020) Francisco J. Martinez-Murcia et al.   NEUROCOMPUTING

Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions

(2019) Javeria Amin et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Diabetic Retinopathy Detection through Novel Tetragonal Local Octa Patterns and Extreme Learning Machines

(2019) Tahira Nazir et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Modified Alexnet architecture for classification of diabetic retinopathy images

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

Brain Tumor Detection using Fusion of Hand Crafted and Deep Learning Features

(2019) Tanzila Saba et al.   Cognitive Systems Research

Brain tumor detection using statistical and machine learning method

(2019) Javaria Amin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

(2019) Javeria Amin et al.   JOURNAL OF MEDICAL SYSTEMS

Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

(2019) Javaria Amin et al.   Cognitive Systems Research

A unified patch based method for brain tumor detection using features fusion

(2019) Muhammad Sharif et al.   Cognitive Systems Research

Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning

(2019) Javaria Amin et al.   JOURNAL OF MEDICAL SYSTEMS

Brain tumor detection: a long short-term memory (LSTM)-based learning model

(2019) Javaria Amin et al.   NEURAL COMPUTING & APPLICATIONS

Integrated design of deep features fusion for localization and classification of skin cancer

(2019) Javeria Amin et al.   PATTERN RECOGNITION LETTERS

Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

(2019) Javaria Amin et al.   PATTERN RECOGNITION LETTERS

An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

(2019) Muhammad Sharif et al.   PATTERN RECOGNITION LETTERS

Guidelines on Diabetic Eye Care

(2018) Tien Y. Wong et al.   OPHTHALMOLOGY

Neurochemical Alterations in Sudden Unexplained Perinatal Deaths—A Review

(2018) Nazeer Muhammad et al.   Frontiers in Pediatrics

Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks

(2018) Kemal Adem   EXPERT SYSTEMS WITH APPLICATIONS

Efficient hybrid approach to segment and classify exudates for DR prediction

(2018) Muhammad Sharif et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detection of Brain Tumor based on Features Fusion and Machine Learning

(2018) Javeria Amin et al.   Journal of Ambient Intelligence and Humanized Computing

A distinctive approach in brain tumor detection and classification using MRI

(2017) Javeria Amin et al.   PATTERN RECOGNITION LETTERS

A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions

(2017) Javeria Amin et al.   Journal of Computational Science

Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm

(2016) Muhammad Abdullah et al.   PeerJ

Thrombosis and Hemorrhage in Diabetic Retinopathy: A Perspective from an Inflammatory Standpoint

(2015) Nivetha Murugesan et al.   SEMINARS IN THROMBOSIS AND HEMOSTASIS

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

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

TeleOphta: Machine learning and image processing methods for teleophthalmology

(2013) E. Decencière et al.   IRBM