Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

(2021) Tawsifur Rahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays

(2021) Saleh Albahli et al.   PeerJ Computer Science

Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images

(2021) Fareed Ahmad et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks

(2021) Mundher Mohammed Taresh et al.   International Journal of Biomedical Imaging

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images

(2021) Saul Calderon-Ramirez et al.   APPLIED SOFT COMPUTING

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

(2021) Lucas O. Teixeira et al.   SENSORS

Cognitive computing-based COVID-19 detection on Internet of things-enabled edge computing environment

(2021) E. Laxmi Lydia et al.   SOFT COMPUTING

A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images

(2021) Soufiane Hamida et al.   Journal of Healthcare Engineering

Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework

(2021) Xiangjie Kong et al.   IEEE Internet of Things Journal

VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images

(2021) Muhammad Attique Khan et al.   Diagnostics

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

(2021) Jasjit Suri et al.   Diagnostics

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging

(2021) Gongbo Liang et al.   IEEE Journal of Biomedical and Health Informatics

Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays

(2020) Nikos Tsiknakis et al.   Experimental and Therapeutic Medicine

A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases using X-ray Images

(2020) Saleh Albahli   Current Medical Imaging Reviews

A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features

(2020) Ahmed T. Sahlol et al.   Symmetry-Basel

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

(2020) Asmaa Abbas et al.   APPLIED INTELLIGENCE

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

(2020) Rodolfo M. Pereira et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic

(2020) Abu Sufian et al.   JOURNAL OF SYSTEMS ARCHITECTURE

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

(2020) Emtiaz Hussain et al.   CHAOS SOLITONS & FRACTALS

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis

(2020) Youbao Tang et al.   MEDICAL IMAGE ANALYSIS

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

(2019) Ivo M. Baltruschat et al.   Scientific Reports

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays

(2019) Bingzhi Chen et al.   Biomedical Signal Processing and Control

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

(2019) Johnatan Carvalho Souza et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Edge computing in smart health care systems: Review, challenges, and research directions

(2019) Morghan Hartmann et al.   Transactions on Emerging Telecommunications Technologies

A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models

(2019) M. Toğaçar et al.   IRBM

Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images

(2019) Abhir Bhandary et al.   PATTERN RECOGNITION LETTERS