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Classification of Coronavirus Images using Shrunken Features
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1 of the 27 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1101/2020.02.10.20021675 (notice 2020-02-21).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2020.1585openalex-snapshot
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China
inferredcites →https://doi.org/10.1002/jmv.25674openalex-snapshot
Recent advances in the detection of respiratory virus infection in humans
inferredcites →https://doi.org/10.1002/wics.179openalex-snapshot
Statistical learning theory: a tutorial
inferredcites →https://doi.org/10.1007/978-3-642-15705-9_5openalex-snapshot
Image Dissimilarity-Based Quantification of Lung Disease from CT
inferredcites →https://doi.org/10.1007/s00345-019-03059-0openalex-snapshot
Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects
inferredcites →https://doi.org/10.1007/s13369-018-3454-1openalex-snapshot
A Novel Liver Image Classification Method Using Perceptual Hash-Based Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.future.2018.10.009openalex-snapshot
Optimal deep learning model for classification of lung cancer on CT images
inferredcites →https://doi.org/10.1016/j.neucom.2013.03.018openalex-snapshot
Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval
inferredcites →https://doi.org/10.1016/j.procs.2018.05.057openalex-snapshot
Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
inferredcites →https://doi.org/10.1016/s0168-9002(00)00349-1openalex-snapshot
The linear attenuation coefficients as features of multiple energy CT image classification
inferredcites →https://doi.org/10.1016/s0933-3657(01)00101-4openalex-snapshot
Bounded-depth threshold circuits for computer-assisted CT image classification
inferredcites →https://doi.org/10.1038/nbt0308-303openalex-snapshot
What is principal component analysis?
inferredcites →https://doi.org/10.1046/j.1360-2276.2003.01133.xopenalex-snapshot
Short communication: Low risk of transmission of severe acute respiratory syndrome on airplanes: the Singapore experience
inferredcites →https://doi.org/10.1056/nejmoa2001316openalex-snapshot
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
inferredcites →https://doi.org/10.1080/21681163.2015.1124249openalex-snapshot
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
inferredcites →https://doi.org/10.1101/2020.02.10.20021675openalex-snapshot
Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China
inferredcites →https://doi.org/10.1109/ccece.2011.6030630openalex-snapshot
Local relative GLRLM-based texture feature extraction for classifying ultrasound medical images
inferredcites →https://doi.org/10.1109/icassp.2019.8682397openalex-snapshot
On Evaluating CNN Representations for Low Resource Medical Image Classification
inferredcites →https://doi.org/10.1109/icmlc.2007.4370318openalex-snapshot
Feature Extraction and Classification for Human Brain CT Images
inferredcites →https://doi.org/10.1117/12.2254091openalex-snapshot
Deep learning methods to guide CT image reconstruction and reduce metal artifacts
inferredcites →https://doi.org/10.1117/12.2537004openalex-snapshot
A novel exponential loss function for pathological lymph node image classification
inferredcites →https://doi.org/10.1117/12.877881openalex-snapshot
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering
inferredcites →https://doi.org/10.1148/radiol.2020200230openalex-snapshot
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
inferredcites →https://doi.org/10.1148/rg.2018170048openalex-snapshot
Radiographic and CT Features of Viral Pneumonia
inferredcites →https://doi.org/10.1184/r1/6605570openalex-snapshot
Fast feature selection using fractal dimension
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045openalex-snapshot
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-74761-9_22openalex-snapshot
Convolutional Neural Networks for COVID-19 Diagnosis
inferred← citeshttps://doi.org/10.1007/978-3-030-79753-9_4openalex-snapshot
A Review on Detection of COVID-19 Patients Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-13577-4_3openalex-snapshot
Automated Detection of Covid-19 Waves with Computerized Tomography Scan Using Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-16-1342-5_23openalex-snapshot
Leveraging X-Ray and CT Scans for COVID-19 Infection Investigation Using Deep Learning Models: Challenges and Research Directions
inferred← citeshttps://doi.org/10.1007/978-981-16-1574-0_5openalex-snapshot
Boon of Artificial Intelligence in Diagnosis of COVID-19
inferred← citeshttps://doi.org/10.1007/978-981-19-2416-3_14openalex-snapshot
Deep Learning Empowered Fight Against COVID-19: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-33-4673-4_55openalex-snapshot
Convid-Net: An Enhanced Convolutional Neural Network Framework for COVID-19 Detection from X-Ray Images
inferred← citeshttps://doi.org/10.1007/s10462-021-09985-zopenalex-snapshot
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
inferred← citeshttps://doi.org/10.1007/s11042-022-13739-6openalex-snapshot
Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images
inferred← citeshttps://doi.org/10.1007/s11042-022-14316-7openalex-snapshot
A new model for classification of medical CT images using CNN: a COVID-19 case study
inferred← citeshttps://doi.org/10.1007/s40747-021-00424-8openalex-snapshot
A systematic review on AI/ML approaches against COVID-19 outbreak
inferred← citeshttps://doi.org/10.1007/s42600-020-00120-5openalex-snapshot
COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID
inferred← citeshttps://doi.org/10.1016/b978-0-12-824054-0.00031-9openalex-snapshot
Ensemble method for multiclassification of COVID-19 virus using spatial and frequency domain features over X-ray images
inferred← citeshttps://doi.org/10.1109/iccp51029.2020.9266277openalex-snapshot
COVID-19 Preliminary Patient Filtering based on Regular Blood Tests using Auto-Adaptive Artificial Intelligence Platform
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533831openalex-snapshot
Automated detection of COVID-19 on a small dataset of chest CT images using metric learning
inferred← citeshttps://doi.org/10.1109/tiptekno50054.2020.9299289openalex-snapshot
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images
inferred← citeshttps://doi.org/10.1111/exsy.13378openalex-snapshot
Deep learning techniques on 3D‐MRI lung images for detection and segmentation of COVID ‐19 virus
inferred← citeshttps://doi.org/10.1155/2021/5577636openalex-snapshot
Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System
inferred← citeshttps://doi.org/10.1155/2022/6825576openalex-snapshot
Automated Screening of COVID‐19‐Based Tongue Image on Chinese Medicine
inferred← citeshttps://doi.org/10.1186/s42234-020-00050-8openalex-snapshot
Machine learning to assist clinical decision-making during the COVID-19 pandemic
inferred← citeshttps://doi.org/10.15212/bioi-2020-0015openalex-snapshot
A Survey on Artificial Intelligence in Chest Imaging of COVID-19
inferred← citeshttps://doi.org/10.18280/rces.090302openalex-snapshot
A Review of COVID-19 Detection, Prevention, and Cure Techniques
inferred← citeshttps://doi.org/10.33448/rsd-v11i5.27919openalex-snapshot
Towards a Classification Model using CNN and Wavelets applied to COVID-19 CT images
inferred← citeshttps://doi.org/10.3389/fcvm.2021.638011openalex-snapshot
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
inferred← citeshttps://doi.org/10.37394/23209.2024.21.21openalex-snapshot
Socio-economic Challenges in COVID Detection using Transfer Learning-Based Methods
inferred← citeshttps://doi.org/10.48550/arxiv.2004.12592openalex-snapshot
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2007.10785openalex-snapshot
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
inferred← citeshttps://doi.org/10.48550/arxiv.2102.04300openalex-snapshot
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
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