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A bi-stage feature selection approach for COVID-19 prediction using chest CT images

https://doi.org/10.1007/s10489-021-02292-8
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Designing Hybrid CNN-SVM Model for COVID-19 Classification Based on X-ray Images Using LGBM Feature Selection
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COVID-RDNet: A novel coronavirus pneumonia classification model by the mixed dataset
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1590051/v1openalex-snapshot
Identification of asymptomatic COVID-19 patients on chest CT images using Transformer-or CNN-based deep learning models
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3376366/v1openalex-snapshot
HAR-BiNet: COVID-19 Prediction Using Hybrid Attention based Residual Bidirectional Gated Recurrent Unit
inferred← citeshttps://doi.org/10.2174/0126667975388682250428053109openalex-snapshot
Next-Gen COVID-19 Diagnosis: Integrating SegFormer, MaxViT, and Explainable AI for Advanced Lung CT Imaging
inferred← citeshttps://doi.org/10.24996/ijs.2023.64.7.37openalex-snapshot
Paradigm Shift Towards Federated Learning for COVID-19 Detection: A Survey
inferred← citeshttps://doi.org/10.3233/jifs-230312openalex-snapshot
An efficient Covid-19 detection and severity analysis using optimized mask region-based convolution neural network
inferred← citeshttps://doi.org/10.3390/app11157004openalex-snapshot
Prediction of COVID-19 from Chest CT Images Using an Ensemble of Deep Learning Models
inferred← citeshttps://doi.org/10.3390/app11198867openalex-snapshot
A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images
inferred← citeshttps://doi.org/10.3390/data9020020openalex-snapshot
An Optimized Hybrid Approach for Feature Selection Based on Chi-Square and Particle Swarm Optimization Algorithms
inferred← citeshttps://doi.org/10.3390/diagnostics11050895openalex-snapshot
Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach
inferred← citeshttps://doi.org/10.3390/diagnostics13101806openalex-snapshot
A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling
inferred← citeshttps://doi.org/10.3390/healthcare11172388openalex-snapshot
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022
inferred← citeshttps://doi.org/10.3390/s21238045openalex-snapshot
Role of Artificial Intelligence in COVID-19 Detection
inferred← citeshttps://doi.org/10.4015/s1016237223500126openalex-snapshot
DUAL-SCALE CNN ARCHITECTURE FOR COVID-19 DETECTION FROM LUNG CT IMAGES
inferred← citeshttps://doi.org/10.4015/s1016237224500352openalex-snapshot
WAVELET-POOLING-BASED MULTI-SCALE CNN FOR COVID-19 DETECTION FROM CT IMAGES
inferred← citeshttps://doi.org/10.53106/160792642022052303001openalex-snapshot
Binary QUATRE Using Time-varying Transfer Functions
inferred← citeshttps://doi.org/10.56536/jicet.v3i1.55openalex-snapshot
COVID-19 Detection using Curvelet Transformation and Support Vector Machine
inferred← citeshttps://doi.org/10.58491/2735-4202.3201openalex-snapshot
An Innovative COVID-19 Patient Recognition Framework
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