COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases

COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases

The recognition of COVID-19 infection from X-ray images is an emerging field in the learning and computer vision community. Despite the great efforts that have been made in this field since the appearance of COVID-19 (2019), the field still suffers from two drawbacks. First, the number of available...

Full description

Bibliographic Details
Main Authors:	Edoardo Vantaggiato, Emanuela Paladini, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Sensors
Subjects:	COVID-19 deep learning convolutional neural network Ensemble-CNNs X-ray scans
Online Access:	https://www.mdpi.com/1424-8220/21/5/1742

Similar Items

Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification
by: Emanuela Paladini, et al.
Published: (2021-03-01)

Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans
by: Fares Bougourzi, et al.
Published: (2021-09-01)

Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN
by: Fares Bougourzi, et al.
Published: (2021-08-01)

Detecting COVID-19 from Chest X-rays Using Convolutional Neural Network Ensembles
by: Tarik El Lel, et al.
Published: (2023-05-01)

Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers
by: Sivaramakrishnan Rajaraman, et al.
Published: (2022-02-01)

FPGA Acceleration of CNNs-Based Malware Traffic Classification
by: Lin Zhang, et al.
Published: (2020-10-01)

Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning
by: Anirudh Muthuswamy, et al.
Published: (2023-01-01)

An Accelerator Design Using a MTCA Decomposition Algorithm for CNNs
by: Yunping Zhao, et al.
Published: (2020-09-01)

Deep CNNs with Robust LBP Guiding Pooling for Face Recognition
by: Zhongjian Ma, et al.
Published: (2018-11-01)

Deep learning techniques for hyperspectral image analysis in agriculture: A review
by: Mohamed Fadhlallah Guerri, et al.
Published: (2024-04-01)

An Adaptive CNNs Technology for Robust Iris Segmentation
by: Ying Chen, et al.
Published: (2019-01-01)

Analysis of spectrum sensing using deep learning algorithms: CNNs and RNNs
by: Arun Kumar, et al.
Published: (2024-03-01)

Iterative Dual CNNs for Image Deblurring
by: Jinbin Wang, et al.
Published: (2022-10-01)

A survey of remote sensing image classification based on CNNs
by: Jia Song, et al.
Published: (2019-07-01)

Ensemble Optimization for Invasive Ductal Carcinoma (IDC) Classification Using Differential Cartesian Genetic Programming
by: Eid Alkhaldi, et al.
Published: (2022-01-01)

EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset
by: Akella Subrahmanya Narasimha Raju, et al.
Published: (2023-06-01)

Evaluating the Potential of Wavelet Pooling on Improving the Data Efficiency of Light-Weight CNNs
by: Shimaa El-Bana, et al.
Published: (2023-01-01)

Efficient Ensemble via Rotation-Based Self- Supervised Learning Technique and Multi-Input Multi-Output Network
by: Jaehoon Park
Published: (2024-01-01)

Image-Based Pain Intensity Estimation Using Parallel CNNs with Regional Attention
by: Xinting Ye, et al.
Published: (2022-12-01)

Less Is More: Matched Wavelet Pooling-Based Light-Weight CNNs With Application to Image Classification
by: Said El-Khamy, et al.
Published: (2022-01-01)

Analytic Study of Complex Fractional Tsallis’ Entropy with Applications in CNNs
by: Rabha W. Ibrahim, et al.
Published: (2018-09-01)

Spotting Deepfakes and Face Manipulations by Fusing Features from Multi-Stream CNNs Models
by: Semih Yavuzkilic, et al.
Published: (2021-07-01)

Face Detection Performance Using CNNs and Bug Bonuty Program (BBP)
by: Yasmin Makki Mohialden, et al.
Published: (2024-03-01)

Prediction of COVID-19 from Chest CT Images Using an Ensemble of Deep Learning Models
by: Shreya Biswas, et al.
Published: (2021-07-01)

Ensemble Learning of Multiple Deep CNNs Using Accuracy-Based Weighted Voting for ASL Recognition
by: Ying Ma, et al.
Published: (2022-11-01)

Posture Recognition Using Ensemble Deep Models under Various Home Environments
by: Yeong-Hyeon Byeon, et al.
Published: (2020-02-01)

The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts
by: Hao Wen, et al.
Published: (2021-05-01)

Lenslet Image Coding With SAIs Synthesis via 3D CNNs-Based Reinforcement Learning With a Rate Reward
by: Xiaoda Zhong, et al.
Published: (2023-01-01)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification
by: Ioannis E. Livieris, et al.
Published: (2018-07-01)

Semi-Supervised Multi-Granularity CNNs for Text Classification: An Application in Human-Car Interaction
by: Fen Zhao, et al.
Published: (2020-01-01)

Using an Ensemble of Incrementally Fine-Tuned CNNs for Cross-Domain Object Category Recognition
by: Xuesong Zhang, et al.
Published: (2019-01-01)

Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNs Meet Transformers Classifier
by: Ziwei Tian, et al.
Published: (2023-05-01)

Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning
by: Salman Ahmad Siddiqui, et al.
Published: (2022-06-01)

The Detection of COVID-19 in Chest X-rays Using Ensemble CNN Techniques
by: Domantas Kuzinkovas, et al.
Published: (2023-06-01)

Study on Representation Invariances of CNNs and Human Visual Information Processing Based on Data Augmentation
by: Yibo Cui, et al.
Published: (2020-09-01)

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
by: Sivaramakrishnan Rajaraman, et al.
Published: (2020-01-01)

Forecasting Teleconsultation Demand Using an Ensemble CNN Attention-Based BILSTM Model with Additional Variables
by: Wenjia Chen, et al.
Published: (2021-08-01)

Generalizable disease detection using model ensemble on chest X-ray images
by: Maider Abad, et al.
Published: (2024-03-01)

A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks
by: Safa Ben Atitallah, et al.
Published: (2022-06-01)

Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer’s Disease Classification
by: Fujia Ren, et al.
Published: (2019-01-01)