Can AI Help in Screening Viral and COVID-19 Pneumonia?

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Items 601–700 of 1,005

1. An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia
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2. Efficient COVID-19 Identification Using Deep Learning for IoT
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3. Lung Diseases Diagnosis-Based Deep Learning Methods: A Review
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5. Intelligent system for solid waste classification using combination of image processing and machine learning models
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6. RESP dataset construction with multiclass classification in respiratory disease infection detection using machine learning approach
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7. Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
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8. A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
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9. A Meta-Analysis of Artificial Intelligence Applications for Tracking COVID-19: The Case of the U.A.E.
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10. COVID‐opt‐aiNet : A clinical decision support system for COVID ‐19 detection
    Summrina Kanwal, Faiza A. Khan, Sultan Alamri, Kia Dashtipur, Mandar Gogate · 2022 · International Journal of Imaging Systems and Technology
11. Convolutional neural network for the detection of coronavirus based on X-ray images
    Essam Hammodi Ahmed, Majid Razaq Mohamed Alsemawi, Mohammed Hasan Mutar, Hatem Oday Hanoosh, Ali Hashim Abbas · 2022 · Indonesian Journal of Electrical Engineering and Computer Science
12. Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images
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13. Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone
    Madhusudan G. Lanjewar, Arman Yusuf Shaikh, Jivan Shrikrishna Parab · 2022 · Multimedia Tools and Applications
14. Interpretable Differential Diagnosis of Non-COVID Viral Pneumonia, Lung Opacity and COVID-19 Using Tuned Transfer Learning and Explainable AI
    Md Nazmul Islam, Md. Golam Rabiul Alam, Tasnim Sakib Apon, Md. Zia Uddin, Nasser Allheeib, Alaa Mohammad Menshawi, Mohammad Mehedi Hassan · 2023 · Healthcare
15. Enhanced Disease Detection Using Contrast Limited Adaptive Histogram Equalization and Multi-Objective Cuckoo Search in Deep Learning
    Harun Çiğ, Mehmet Tahir Gulluoglu, Mehmet Bilal Er, Umut Kuran, Emre Can Kuran · 2023 · Traitement du signal
16. Detection of COVID-19 Disease from Chest X-Ray Images: A Deep Transfer Learning Framework
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17. Fast Deep Learning Computer-Aided Diagnosis against the Novel COVID-19 pandemic from Digital Chest X-ray Images
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18. COVID-19 radiograph prognosis using a deep CResNeXt network
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19. Detection of Lung Opacity and Treatment Planning with Three-Channel Fusion CNN Model
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20. An efficient but effective writer: Diffusion-based semi-autoregressive transformer for automated radiology report generation
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21. Advancing medical data classification through federated learning and blockchain incentive mechanism: implications for modern software systems and applications
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22. An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time
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23. A semi-supervised concept-cognitive computing system for dynamic classification decision making with limited feedback information
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24. Black Fungus Infection Detection using AI-based Early Warning System for Patients through Multi-Modal Medical Imaging
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25. Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning
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26. Accurate Detection of COVID-19 and Pneumonia from Chest X-Rays and CT Images Using DNN
    Kency Taniya Antony Sekar, K. Suganya Devi, V. Murali Bhaskaran, T Dheepa · 2024 · International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
27. MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation
    Chukwuebuka Joseph Ejiyi, Zhen Qin, Makuachukwu Bennedith Ejiyi, Chiagoziem C. Ukwuoma, Thomas Ugochukwu Ejiyi, Gladys Wavinya Muoka, Emmanuel S. A. Gyarteng, Olusola Bamisile · 2024 · Computers in Biology and Medicine
28. Drr4covid: Learning Automated COVID-19 Infection Segmentation From Digitally Reconstructed Radiographs
    Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li · 2020 · IEEE Access
29. Seg-Net: Automatic Lung Infection Segmentation of COVID-19 from CT images
    G. Rajakumar, R. Sharon Jebaleela, P. Ebby Darney, K. Lakshmi Narayanan, R. Santhana Krishnan, Harold Robinson · 2021 · International Conference on Trends in Electronics and Informatics (ICOEI)
30. A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning
    Ahmed Barnawi, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Mehrez Boulares · 2021 · Multimedia Systems
31. Evolution of Generative Adversarial Networks Using PSO for Synthesis of COVID-19 Chest X-ray Images
    Juan-Antonio Rodriguez-de-la-Cruz, Héctor‐Gabriel Acosta‐Mesa, Efrén Mezura‐Montes · 2021 · IEEE Congress on Evolutionary Computation (CEC)
32. Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN
    Md Gulzar Hussain, Shiren Ye · 2021 · International Conference on Computing, Electronics & Communications Engineering (iCCECE)
33. Diagnosis of Lung Disease Based on Medical Images Using Artificial Neural Networks
    Anastasiia Sheremet, Yuriy Panteliyovych Kondratenko, Ievgen V. Sidenko, Galyna Kondratenko · 2021 · IEEE Ukraine Conference on Electrical and Computer Engineering (UKRCON)
34. Automatic Classification of Covid-19 Chest X-Ray Images Using Local Binary Pattern and Binary Particle Swarm Optimization for Feature Selection
    Bazhdar N. Mohammed, Firas Husham Almukhtar, Raghad Zuhair Yousif, Yazen Saifuldeen Almashhadani · 2021 · Cihan University-Erbil Scientific Journal
35. A deep adversarial model for segmentation-assisted COVID-19 diagnosis using CT images
    Haiyan Yao, Wanggen Wan, Xiang Li · 2022 · EURASIP Journal on Advances in Signal Processing
36. Optimized Deep-Neural Network for Content-based Medical Image Retrieval in a Brownfield IoMT Network
    Arti Tiwari, Millie Pant · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
37. Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images
    Chiagoziem C. Ukwuoma, Zhiguang Qin, Victor Kwaku Agbesi, Bernard Mawuli Cobbinah, Sophyani Banaamwini Yussif, Hassan Sani Abubakar, Bona Debela Lemessa · 2022 · Computers in Biology and Medicine
38. Novel Light Convolutional Neural Network for COVID Detection with Watershed Based Region Growing Segmentation
    Hassan Ali Khan, Xueqing Gong, Fenglin Bi, Rashid Ali · 2023 · Journal of Imaging
39. Sparse representation learning using ℓ1−2 compressed sensing and rank-revealing QR factorization
    Amir Moslemi · 2023 · Engineering Applications of Artificial Intelligence
40. CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
    Deepraj Chowdhury, Anik Das, Ajoy Dey, Soham Banerjee, Muhammed Golec, Dimitrios Kollias, Mohit Kumar, Guneet Kaur, Rupinder Kaur, Rajesh Chand Arya et al. · 2023 · BenchCouncil Transactions on Benchmarks Standards and Evaluations
41. How Resilient Are Deep Learning Models in Medical Image Analysis? The Case of the Moment-Based Adversarial Attack (Mb-AdA)
    Theodore V. Maliamanis, Kyriakos D. Apostolidis, George A. Papakostas · 2022 · Biomedicines
42. Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
    Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao · 2020 · arXiv (Cornell University)
43. Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning
    Ben Ahmed, Kaoutar, Hall, Lawrence O., Goldgof, Dmitry B., Fogarty, Ryan · 2022 · IEEE Access
44. DAFNet: A novel Dynamic Adaptive Fusion Network for medical image classification
    Ziheng Cai, Yuli Chen, Jinjie Wang, Xin He, Zixuan Pei, Xiujuan Lei, Cheng Youn Lu · 2025 · Information Fusion
45. Low-rank robust online distance/similarity learning based on the rescaled hinge loss
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46. Tiled Sparse Coding in Eigenspaces for Image Classification
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47. Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion
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48. Towards Applicability of Information Communication Technologies in Automated Disease Detection
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49. An Improved COVID-19 Lung X-Ray Image Classification Algorithm Based on ConvNeXt Network
    Fuxiang Liu, Chen Zang, Junqi Shi, Weiyu He, Yupeng Liang, Lei Li · 2023 · International Journal of Image and Graphics
50. A new method for chest X-ray images categorization using transfer learning and CovidNet_2020 employing convolution neural network
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51. Severity wise COVID-19 X-ray image augmentation and classification using structure similarity
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52. Improving Techniques for Convolutional Neural Networks Performance
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53. Automatic ARDS surveillance with chest X-ray recognition using convolutional neural networks
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54. On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
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55. Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support
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56. A deep ensemble learning framework for COVID-19 detection in chest X-ray images
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57. Enhancing Diagnostic Accuracy for Skin Cancer and COVID-19 Detection: A Comparative Study Using a Stacked Ensemble Method
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58. An efficient federated learning method based on enhanced classification-GAN for medical image classification
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59. Detection of COVID-19 from X-rays using hybrid deep learning models
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60. Penerapan Convolutional Neural Network pada Citra Rontgen Paru-Paru untuk Deteksi SARS-CoV-2
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61. Multimodal Convolutional Neural Networks for Detection of Covid-19 Using Chest X-Ray and CT Images
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62. Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices
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63. Classifying COVID-19 and Viral Pneumonia Lung Infections through Deep Convolutional Neural Network Model using Chest X-Ray Images
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64. A Methodology for Training Homomorphic Encryption Friendly Neural Networks
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65. Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic
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66. TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network
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67. Deep CNN and LSTM Architecture-Based Approach for COVID-19 Detection
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68. Unsupervised domain adaptation for Covid-19 classification based on balanced slice Wasserstein distance
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69. A trustworthy neural architecture search framework for pneumonia image classification utilizing blockchain technology
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70. Detection of COVID-19 Disease in Chest X-Ray Images with capsul networks: application with cloud computing
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71. COVSeg‐NET : A deep convolution neural network for COVID ‐19 lung CT image segmentation
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72. SPIN: A Blockchain-Based Framework for Sharing COVID-19 Pandemic Information across Nations
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73. Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research
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74. Early diagnosis of COVID-19 patients using deep learning-based deep forest model
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75. COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans
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76. Viral and Bacterial Pneumonia Detection using Artificial Intelligence in the Era of COVID-19
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77. SARS-CoV-2 Pneumonia: Advances in Diagnosis and Treatment
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78. LIME-Enabled Investigation of Convolutional Neural Network Performances in COVID-19 Chest X-Ray Detection
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79. Towards Automated Multiclass Severity Prediction Approach for COVID-19 Infections Based on Combinations of Clinical Data
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80. MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
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81. Enhancing medical image classification through controlled diversity in ensemble learning
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82. Classifying chest x-rays for COVID-19 through transfer learning: a systematic review
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83. Comparison of thresholds for a convolutional neural network classifying medical images
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84. PulmonNet V1: Leveraging the benefit of Leaky ReLU activation for the local and multi-scale global feature integration of chest radiographs to classify pulmonary diseases
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85. Machine-Learning-Enabled Diagnostics with Improved Visualization of Disease Lesions in Chest X-ray Images
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86. High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding
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87. BiASAM: Bidirectional-Attention Guided Segment Anything Model for Very Few-Shot Medical Image Segmentation
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88. An Ensemble Deep Transfer Learning Approach for Classifying COVID-19, Pneumonia, and Healthy Lungs in Chest X-ray Images with GRAD-CAM Visualization
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89. Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays
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90. DNN based approach to classify Covid’19 using convolutional neural network and transfer learning
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91. Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 Pandemic
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92. Performance Analysis of Combination of CNN-based Models with Adaboost Algorithm to Diagnose Covid-19 Disease
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93. Classification of Lung Opacity, COVID-19, and Pneumonia from Chest Radiography Images Based on Convolutional Neural Networks
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94. Coronavirus Pneumonia Classification Using X-Ray and CT Scan Images With Deep Convolutional Neural Network Models
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95. An approach to categorize chest X-ray images using sparse categorical cross entropy
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96. Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks
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97. Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction
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98. A COVID-19 Auxiliary Diagnosis Based on Federated Learning and Blockchain
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99. Fast Image Super-Resolution Using Particle Swarm Optimization-Based Convolutional Neural Networks
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100. Coronavirus Diagnosis Based on Chest X-Ray Images and Pre-Trained DenseNet-121
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