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

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Items 201–300 of 1,004

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3. Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays
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4. A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer
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5. Automatic detection of COVID-19 using pruned GLCM-Based texture features and LDCRF classification
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6. Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
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8. Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images
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9. LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases
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10. Optimized deep learning model for comprehensive medical image analysis across multiple modalities
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11. CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection
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12. A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense
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13. COVID-19 detection from lung CT-scan images using transfer learning approach
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14. IoT-to-the-Rescue: A Survey of IoT Solutions for COVID-19-Like Pandemics
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15. COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
    Hammam A. Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz · 2021 · PeerJ Computer Science
16. Randomly initialized convolutional neural network for the recognition of COVID ‐19 using X‐ray images
    Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala · 2021 · International Journal of Imaging Systems and Technology
17. COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
    Gerosh Shibu George, Pratyush Raj Mishra, Panav Sinha, Manas Ranjan Prusty · 2022 · Journal of Applied Biomedicine
18. Medical image processing and COVID-19: A literature review and bibliometric analysis
    Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Muhammed Yousoof Ismail, Ashwaq Alhargan, Abdullah Alghamdi, Ahmed Omar Alzahrani, Linah Saraireh, Reem Osman, Shahla Asadi · 2021 · Journal of Infection and Public Health
19. COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans
    Kirti Raj Bhatele, Anand Jha, Devanshu Tiwari, Mukta Bhatele, Sneha Sharma, Muktasha R. Mithora, Stuti Singhal · 2022 · Cognitive Computation
20. Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models
    Hazrat Ali, Shafaq Murad, Zubair Shah · 2023 · Communications in computer and information science
21. Tomato Leaf Diseases Detection Using Deep Learning Technique
    Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Abdullah Khandakar, Nabil Ibtehaz, Aftab Ullah Khan, Muhammad Salman Khan, Nasser Ahmed Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Sawal Hamid Md. Ali · 2021 · IntechOpen eBooks
22. Potential of multimodal large language models for data mining of medical images and free-text reports
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23. Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
    J. Arun Prakash, C. R. Asswin, Vinayakumar Ravi, V. Sowmya, KP Soman · 2022 · Multimedia Tools and Applications
24. TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
    Tawsifur Rahman, Amith Abdullah Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna A. Rahman S. Al Maslamani, Moajjem Hossain Chowdhury, Anas Tahir, Md. Sakib Abrar Hossain, Muhammad E. H. Chowdhury · 2024 · Cognitive Computation
25. Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
    Mete Ahishali, Aysen Degerli, Mehmet Yamaç, Serkan Kiranyaz B, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj · 2021 · IEEE Access
26. A Deep Learning Approach to Detect COVID-19 Patients from Chest X-ray Images
    Khandaker Foysal Haque, Ahmed Abdelgawad · 2020 · AI
27. An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images
    Omar Elharrouss, Nandhini Subramanian, Somaya Ali Al-Maadeed · 2021 · SN Computer Science
28. Overview of current state of research on the application of artificial intelligence techniques for COVID-19
    Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius · 2021 · PeerJ Computer Science
29. Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
    Tawsifur Rahman, Fajer Al‐Ishaq, Fatima Saoud Al-Mohannadi, Reem S. Mubarak, Maryam Al-Hitmi, Khandaker Reajul Islam, Amith Abdullah Khandakar, Ali Ait Hssain, Somaya Ali Al-Maadeed, Susu M. Zughaier et al. · 2021 · Diagnostics
30. Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
    Amith Abdullah Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Tariq O. Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid Bin Mahbub, Rumana Habib, Tawsifur Rahman et al. · 2022 · Sensors
31. CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images
    Gaurav Kumar Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia · 2022 · Biomedical Signal Processing and Control
32. Weighted ensemble model for image classification
    Talib Iqball, Mohd Arif Wani · 2023 · International Journal of Information Technology
33. Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
    Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, S. Satheesh, Jagendra Singh, Thomas Martinetz, Hammam A. Alshazly · 2022 · Contrast Media & Molecular Imaging
34. An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images
    Ahmed Afifi, Noor E. Hafsa, Mona A. S. Ali, Abdulaziz Alhumam, Safa Alsalman · 2021 · Symmetry
35. Intelligent Internet of Things and Advanced Machine Learning Techniques for COVID-19
    Chinmay Chakraborty, Arij Naser Abougreen · 2021 · EAI Endorsed Transactions on Pervasive Health and Technology
36. SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
    Usman Muhammad, Md Ziaul Hoque, Mourad Oussalah, Anja Keskinarkaus, Tapio Seppänen, Pinaki Sarder · 2022 · Knowledge-Based Systems
37. Machine learning-based automatic detection of novel coronavirus (COVID-19) disease
    Anuja Bhargava, Atul Bansal, Vishal Goyal · 2022 · Multimedia Tools and Applications
38. Hybrid CLAHE-CNN Deep Neural Networks for Classifying Lung Diseases from X-ray Acquisitions
    Fairouz Hussein, Ala’ S Mughaid, Shadi Mahmoud Faleh AlZu’bi, Subhieh El-Salhi, Belal Abuhaija, Laith Abualigah, Amir H. Gandomi · 2022 · Electronics
39. Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
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40. An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data: A COVID-19 Case Study
    Ali Fatahi, Mohammad H. Nadimi-Shahraki, Hoda Zamani · 2023 · Journal of Bionic Engineering
41. COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques
    Abul Bashar, Ghazanfar Latif, Ghassen Ben Brahim, Nazeeruddin Mohammad, Jaafar M. Alghazo · 2021 · Diagnostics
42. Artificial intelligence on COVID-19 pneumonia detection using chest xray images
    Lei Rigi Baltazar, Mojhune Gabriel Manzanillo, Joverlyn D. Gaudillo, Ethel Dominique E. Viray, Mario Domingo, B. Tiangco, Jason R. Albia · 2021 · PLoS ONE
43. A Novel CovidDetNet Deep Learning Model for Effective COVID-19 Infection Detection Using Chest Radiograph Images
    Naeem Ullah, Javed Ali Khan, Sultan Almakdi, Muhammad Sohail Khan, Mohammed Alshehri, Dabiah Alboaneen, Asaf Raza · 2022 · Applied Sciences
44. SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays
    Aaisha Makkar, KC Santosh · 2023 · International Journal of Machine Learning and Cybernetics
45. A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images
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46. Medical imaging: A Critical Review on X-ray Imaging for the Detection of Infection
    Egwonor Loveth Irede, Omowunmi Rebecca Aworinde, Ogunnaike Korede Lekan, Osemudiamhen Destiny Amienghemhen, Tochukwu Perpetua Okonkwo, Asishana Paul Onivefu, Ikhazuagbe Hilary Ifijen · 2024 · Biomedical Materials & Devices
47. Self-supervised learning framework application for medical image analysis: a review and summary
    Xiangrui Zeng, Nibras Abdullah, Putra Sumari · 2024 · BioMedical Engineering OnLine
48. Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis
    Sejuti Rahman, Sujan Sarker, Md Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, A. Noman · 2020 · Cognitive Computation
49. An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray
    Mahbubunnabi Tamal, Maha M. AlShammari, Meernah Alabdullah, Rana Hourani, Hossain Abu Alola, Tarek Mohammed Hegazi · 2021 · Expert Systems with Applications
50. Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis
    Abdul Qayyum, Imran Razzak, M. Tanveer, Ajay Kumar · 2021 · Annals of Operations Research
51. MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation
    Yu Qiu, Yun Liu, Shijie Li, Jing Xu · 2022 · IEEE Transactions on Neural Networks and Learning Systems
52. MedCLIP-SAMv2: Towards universal text-driven medical image segmentation
    Taha Koleilat, Hojat Asgariandehkordi, Hassan J Rivaz, Yiming Xiao · 2025 · Medical Image Analysis
53. COVID-19 Diagnosis in Chest X-rays Using Deep Learning and Majority Voting
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54. Detecting pulmonary diseases using deep features in X-ray images
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55. Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
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56. COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
    Shruti Jadon · 2021 · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
57. CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation
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58. CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images
    Hang Yang, Liyang Wang, Yitian Xu, Xuhua Liu · 2022 · International Journal of Machine Learning and Cybernetics
59. Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning
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60. FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
    Ho, Trang-Thi, Tran, Khoa-Dang, Huang, Yennun · 2022 · Sensors
61. RETRACTED ARTICLE: GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest
    Pritam Saha, Debadyuti Mukherjee, Pawan Kumar Singh, Ali Ahmadian, Массимилиано Феррара, Ram Sarkar · 2021 · Scientific Reports · Retracted
62. An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM
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63. Blockchain for medical collaboration: A federated learning-based approach for multi-class respiratory disease classification
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64. Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images
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65. A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
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66. A comprehensive review on transformer network for natural and medical image analysis
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67. From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images
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68. CNN–RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images
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69. Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification
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70. Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
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71. COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers
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72. The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
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73. Deep learning and vision transformers-based framework for breast cancer and subtype identification
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74. Medical imaging and computational image analysis in COVID-19 diagnosis: A review
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75. BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models
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76. Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission
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77. Federated Learning in Computer Vision
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78. A Lightweight Deep Learning Model for COVID-19 Detection
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79. Deep Learning Transfer with AlexNet for chest X-ray COVID-19 recognition
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80. Machine learning for medical imaging‐based COVID‐19 detection and diagnosis
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81. DC‐GAN ‐based synthetic X‐ray images augmentation for increasing the performance of EfficientNet for COVID ‐19 detection
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82. Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
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83. RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
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84. An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
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85. COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
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86. A multiclass deep learning algorithm for healthy lung, Covid-19 and pneumonia disease detection from chest X-ray images
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87. Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification
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88. Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms
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89. A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach
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90. COVID-WideNet—A capsule network for COVID-19 detection
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91. RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
    Hassaan Malik, Tayyaba Anees · 2024 · PLoS ONE · Retracted
92. Pneumonia and COVID-19 Detection using Convolutional Neural Networks
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93. Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases
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94. Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification
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95. Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
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96. An Accurate and Privacy-Preserving Retrieval Scheme Over Outsourced Medical Images
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97. A survey of machine learning-based methods for COVID-19 medical image analysis
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98. Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures
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99. Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images
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100. Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models
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