Can AI help in screening viral and COVID-19 pneumonia?

Chowdhury, Muhammad E. H., Rahman, Tawsifur, Khandakar, Amith, Mazhar, Rashid, Kadir, Muhammad Abdul, Mahbub, Zaid Bin, Islam, Khandakar Reajul, Khan, Muhammad Salman +4 more·2020·IEEE Access

Cited by (1,004)

Items 301–400 of 1,004

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  2. Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns
    Karen A. Panetta, Foram M. Sanghavi, Sos С. Agaian, Neel Madan · 2021 · IEEE Journal of Biomedical and Health Informatics
  3. A stacked ensemble for the detection of COVID-19 with high recall and accuracy
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  4. A novel and efficient deep learning approach for COVID ‐19 detection using X‐ray imaging modality
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  5. Metaheuristics based COVID-19 detection using medical images: A review
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  6. SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset
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  7. Automated COVID-19 Detection from Chest X-Ray Images: A High-Resolution Network (HRNet) Approach
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  8. A Comprehensive Review of Machine Learning Used to Combat COVID-19
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  9. TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
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  10. B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images
    K M Abubeker, S. Baskar · 2023 · Machine Learning Science and Technology
  11. A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI)
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  12. Detection of COVID-19, pneumonia, and tuberculosis from radiographs using AI-driven knowledge distillation
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  13. COVID-19 severity detection using chest X-ray segmentation and deep learning
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  14. Thoracic-net: Explainable artificial intelligence (XAI) based few shots learning feature fusion technique for multi-classifying thoracic diseases using medical imaging
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  15. Identification of Images of COVID-19 from Chest X-rays Using Deep Learning: Comparing COGNEX VisionPro Deep Learning 1.0™ Software with Open Source Convolutional Neural Networks
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  16. Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification
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  18. MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack
    Mengting Xu, Tao Zhang, Daoqiang Zhang · 2022 · IEEE Transactions on Medical Imaging
  19. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
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  20. Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images
    Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng · 2023 · IEEE Access
  21. Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification
    Arjun Ghosh, Nanda Dulal Jana, Swagatam Das, Rammohan Mallipeddi · 2023 · IEEE Access
  22. Medical image analysis using improved SAM-Med2D: segmentation and classification perspectives
    Jiakang Sun, Ke Chen, Zhiyi He, Siyuan Ren, Xinyang He, Xu Liu, Cheng Peng · 2024 · BMC Medical Imaging
  23. Automated classification of chest X-rays: a deep learning approach with attention mechanisms
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  24. CoviNet: Automated COVID-19 Detection from X-rays using Deep Learning Techniques
    Samira Lafraxo, Mohamed El Ansari · 2020 · IEEE Congress on Information Science and Technology (CiSt)
  25. Challenges of deep learning methods for COVID-19 detection using public datasets
    Md. Kamrul Hasan, Md. Ashraful Alam, Lavsen Dahal, Shidhartho Roy, Sifat Redwan Wahid, Md. Toufick E Elahi, Robert Martí, Bishesh Khanal · 2022 · Informatics in Medicine Unlocked
  26. A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images
    Saeed S. Alahmari, Baderaldeen A. Altazi, Jisoo Hwang, Samuel H. Hawkins, Tawfiq Salem · 2022 · IEEE Access
  27. A Survey on Deep Learning in COVID-19 Diagnosis
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  28. RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification
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  29. MedSegBench: A comprehensive benchmark for medical image segmentation in diverse data modalities
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  30. Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare
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  31. Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods
    Ali Narin · 2021 · Computers in Biology and Medicine
  32. Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images
    Yusuf Brima, Marcellin Atemkeng, S.R. Tankio Djiokap, Malick Ebiele, Franklin Tchakounté · 2021 · Diagnostics
  33. AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography Images
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  34. COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles
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  35. Explainable COVID-19 Detection on Chest X-rays Using an End-to-End Deep Convolutional Neural Network Architecture
    Mohamed Chetoui, Moulay A. Akhloufi, Bardia Yousefi, El Mostafa Bouattane · 2021 · Big Data and Cognitive Computing
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  37. CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
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  38. COVID-19 chest X-ray detection through blending ensemble of CNN snapshots
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  39. BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
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  41. Development of a computer-aided tool for detection of COVID-19 pneumonia from CXR images using machine learning algorithm
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    Schemmer, Max, Hemmer, Patrick, Kühl, Niklas, Benz, Carina, Satzger, Gerhard · 2022 · arXiv
  43. Thorax Disease Classification Based on Pyramidal Convolution Shuffle Attention Neural Network
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  44. D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
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  45. Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information
    Elias P. Medeiros, Marcos Machado, Emannuel Diego G. de Freitas, Daniel Santos da Silva, Renato William R. de Souza · 2023 · Expert Systems with Applications
  46. MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning
    Chang Shu, Yi Zhu, Xiaochu Tang, Jing Xiao, Youxin Chen, Xiu Li, Qian Zhang, Zheng Lu · 2023 · Expert Systems with Applications
  47. COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms
    Rukundo Prince, Zhendong Niu, Zahid Younas Khan, Masabo Emmanuel, Patrick Niyishaka · 2024 · BMC Bioinformatics
  48. Lightweight convolutional neural network for chest X-ray images classification
    Chih-Ta Yen, Chia-Yu Tsao · 2024 · Scientific Reports
  49. TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation
    Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Yao Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Elyorbek Yuldashov, Bekchanov Habibullo, Defu Tang et al. · 2024 · Big Data Mining and Analytics
  50. A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs
    Matthias Fontanellaz, Lukas Ebner, Adrian Thomas Huber, Alan A. Peters, Laura I. Loebelenz, Cynthia Hourscht, Jeremias Bendicht Klaus, Jaro Munz, Thomas Daniel Ruder, Dionysios Drakopoulos et al. · 2020 · Investigative Radiology
  51. Detection of coronavirus disease (COVID-19) from X-ray images using deep convolutional neural networks
    Yakup Kutlu, Yunus CAMGÖZLÜ · 2021 · Natural and Engineering Sciences
  52. COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking
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  53. Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application
    Mahbub Ul Alam, Rahim Rahmani · 2021 · Sensors
  54. IoT Based Intelligent Computer-Aided Diagnosis and Decision Making System for Health Care
    Channabasava Chola, Md Belal Bin Heyat, Faijan Akhtar, Omar AlShorman, J. V. Bibal Benifa, Abdullah Yahya Mohammed Muaad, Mahmoud Masadeh, Fahad Alkahatni · 2021
  55. Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
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  56. A novel approach for detection of COVID-19 and Pneumonia using only binary classification from chest CT-scans
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  57. Machine intelligence in dynamical systems: \A state‐of‐art review
    Arup Kumar Sahoo, Snehashish Chakraverty · 2022 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  58. COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm
    Rahul Gowtham Poola, P.L. Lahari, Siva Sankar Y · 2023 · Results in Engineering
  59. A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system
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  60. Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models
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  62. CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging
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  63. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia
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  64. Federated Partially Supervised Learning With Limited Decentralized Medical Images
    Nanqing Dong, Michael Kampffmeyer, Irina D. Voiculescu, Eric P. Xing · 2022 · IEEE Transactions on Medical Imaging
  65. A survey on deep learning models for detection of COVID-19
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  66. Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study
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  68. Deep insight: Convolutional neural network and its applications for COVID-19 prognosis
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  69. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions
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  70. Battling COVID-19 using machine learning: A review
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  71. An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis
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  72. Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis
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  73. Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models
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  75. Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images
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  76. COVID-CGAN: Efficient Deep Learning Approach for COVID-19 Detection Based on CXR Images Using Conditional GANs
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  77. MobileNetV2 Based Chest X-Rays Classification
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  78. Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans
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  79. A Novel Approach to Detect COVID-19: Enhanced Deep Learning Models with Convolutional Neural Networks
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  80. A privacy preserving diagnostic collaboration framework for facial paralysis using federated learning
    Divya G. Nair, Jyothisha J. Nair, K. Jaideep Reddy, C V Aswartha Narayana · 2022 · Engineering Applications of Artificial Intelligence
  81. Employing Transfer Learning for Diagnosing COVID-19 Disease
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  82. COVID-19 Identification from Chest X-Rays
    Iosif Mporas, Prasitthichai Naronglerdrit · 2020 · International Conference on Biomedical Innovations and Applications (BIA)
  83. Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
    Fareed Ahmad, Muhammad Usman Ghani Khan, Kashif Javed · 2021 · Computers in Biology and Medicine
  84. Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases
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  85. A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
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  86. COVID-19 and Pneumonia Diagnosis in X-Ray Images Using Convolutional Neural Networks
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  87. MHA-CoroCapsule: Multi-Head Attention Routing-Based Capsule Network for COVID-19 Chest X-Ray Image Classification
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  88. Explanatory Interactive Machine Learning
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  90. Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis
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  91. Current Diagnostic Techniques for Pneumonia: A Scoping Review
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  92. Improving Representation of High-Frequency Components for Medical Visual Foundation Models
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  94. Covid-19 Chest Radiography Images Analysis Based on Integration of Image Preprocess, Guided Grad-CAM, Machine Learning and Risk Management
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  96. The effect of deep feature concatenation in the classification problem: An approach on COVID ‐19 disease detection
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