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

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Items 101–200 of 1,004

1. Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
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2. Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images
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3. Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review
   KC Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer Antani · 2022 · Journal of Medical Systems
4. PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates
   Yogesh Harishchandra Bhosale, K. Sridhar Patnaik · 2022 · Biomedical Signal Processing and Control
5. CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier
   Siyuan Lu, Ziquan Zhu, Yao Tang, Xin Zhang, Xingxiang Liu · 2024 · Biomedical Signal Processing and Control
6. Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
   Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, Mohammad Taheri, Soudeh Ghafouri‐Fard · 2021 · Frontiers in Cardiovascular Medicine
7. Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
   Nillmani, Neeraj Sharma, Luca Saba, Narendra Nath Khanna, Mannudeep K. Kalra, Mostafa M. Fouda, Jasjit S. Suri · 2022 · Diagnostics
8. Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems
   Mahmoud Abdel-Salam, Gang Hu, Emre Çelik, Farhad Soleimanian Gharehchopogh, Ibrahim M. El‐Hasnony · 2024 · Computers in Biology and Medicine
9. Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images
   Naresh Kumar, M. Gupta, Dhanishta Gupta, Shailendra Tiwari · 2021 · Journal of Ambient Intelligence and Humanized Computing
10. X-Ray Image based COVID-19 Detection using Pre-trained Deep Learning Models
    Michael J. Horry, Subrata Chakraborty, Manoranjan Paul, Anwaar Ulhaq, Biswajeet Pradhan, Manas Saha, Nagesh Shukla · 2020
11. A hybrid filter-wrapper feature selection using Fuzzy KNN based on Bonferroni mean for medical datasets classification: A COVID-19 case study
    Amukta Malyada Vommi, Tirumala Krishna Battula · 2023 · Expert Systems with Applications
12. Smart technologies driven approaches to tackle COVID-19 pandemic: a review
    Hameed Khan, Kamal Kumar Kushwah, Saurabh Singh, Harshika Urkude, Muni Raj Maurya, Kishor Kumar Sadasivuni · 2021 · 3 Biotech
13. Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
    José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, Orlando Adolfo Lovelle Enríquez, Marlen Pérez-Díaz · 2021 · Health and Technology
14. COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier
    Asu Kumar Singh, Anupam Kumar, Mufti Mahmud, M. Shamim Kaiser, Akshat Kishore · 2021 · Cognitive Computation
15. Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
    Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao · 2021 · Artificial Intelligence Review
16. Role of telemedicine in healthcare during COVID-19 pandemic in developing countries
    Kadir, Muhammad Abdul · 2020 · Telehealth and Medicine Today
17. Metaheuristic Optimization Through Deep Learning Classification of燙OVID-19 in Chest X-Ray Images
    Nagwan M. Abdel Samee, El‐Sayed M. El‐kenawy, Ghada Emam Atteia, Mona Mamdouh Jamjoom, Abdelhameed F. Ibrahim, Abdelaziz A. Abdelhamid, Noha E. El-Attar, Tarek Gaber, Adam Słowik, Mahmoud Y. Shams · 2022 · Computers, materials & continua/Computers, materials & continua (Print)
18. Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking
    Ebenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu · 2021 · Applied Intelligence
19. Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
    Ekram Chamseddine, Nesrine Mansouri, Makram Soui, Mourad Abed · 2022 · Applied Soft Computing
20. A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
    Syifa Auliyah Hasanah, Anindya Apriliyanti Pravitasari, Atje Setiawan Abdullah, Intan Nurma Yulita, Mohammad Hamid Asnawi · 2023 · Applied Sciences
21. Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images
    Min Li, Xiaojian Ma, Chen Chen, Yushuai Yuan, Shuailei Zhang, Ziwei Yan, Cheng Chen, Fangfang Chen, Yujie Bai, Panyun Zhou et al. · 2021 · IEEE Access
22. Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
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23. Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem
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24. VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
    Abdülkadir Karacı · 2022 · Neural Computing and Applications
25. COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions
    Dalia Yousri, Mohamed Abd Elaziz, Laith Abualigah, Diego A. Oliva, Mohammed A. A. Al‐qaness, Ahmed A. Ewees · 2020 · Applied Soft Computing
26. A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images
    Yassir Edrees Almalki, Abdul Qayyum, Muhammad Irfan, Noman Haider, Adam Głowacz, Fahad M. Alshehri, Sharifa Khalid Alduraibi, Khalaf A Alshamrani, Mohammad Abd Alkhalik Basha, Alaa Khalid Alduraibi et al. · 2021 · Healthcare
27. A systematic review on AI/ML approaches against COVID-19 outbreak
    Dogan, Onur, Tiwari, Sanju, Jabbar, M. A., Guggari, Shankru · 2021 · Complex & Intelligent Systems
28. Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays
    Taban Fouad Majeed, Rasber Dh. Rashid, Dashti Ali, Aras Asaad · 2020 · Physical and Engineering Sciences in Medicine
29. A robust blind medical image watermarking approach for telemedicine applications
    Fares Kahlessenane, Amine Khaldi, Mohamed Redouane Kafi, Salah Euschi · 2021 · Cluster Computing
30. Custom Hardware Architectures for Deep Learning on Portable Devices: A Review
    Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Muhammad E. H. Chowdhury · 2021 · IEEE Transactions on Neural Networks and Learning Systems
31. Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network
    Gaffari Çelik · 2022 · Applied Soft Computing
32. An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
    Sareer Ul Amin, Sher Taj, Adnan Hussain, Sanghyun Seo · 2023 · Biomedical Signal Processing and Control
33. Explainable deep learning model for automatic mulberry leaf disease classification
    Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid, Faruque Ahmed, Nasser Ahmed Al-Emadi, Mohamed Arselene Ayari, Amith Abdullah Khandakar, Julfikar Haider · 2023 · Frontiers in Plant Science
34. Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
    Ashis Paul, Arpan Basu, M. Mahmud, M. Kaiser, R. Sarkar · 2022 · Neural computing & applications (Print)
35. COMPUTER VISION FOR COVID-19 CONTROL: A SURVEY
    Anwaar Ulhaq, Asim Ali Khan, Douglas Pinto Sampaio Gomes, Manoranjan Paul · 2020
36. CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients
    Priyansh Kedia, Anjum, Rahul Katarya · 2021 · Applied Soft Computing
37. COVID-19 detection in chest X-ray images using deep boosted hybrid learning
    Saddam Hussain Khan, Anabia Sohail, Asifullah Khan, Mehdi Hassan, Yeon Soo Lee, Jamshed Alam, A. Basit, Saima Zubair · 2021 · Computers in Biology and Medicine
38. Explainable AI, But Explainable to Whom? An Exploratory Case Study of xAI in Healthcare
    Julie Gerlings, Millie Søndergaard Jensen, Arisa Shollo · 2021 · Intelligent systems reference library
39. COVID‐19 disease severity assessment using CNN model
    Emrah Irmak · 2021 · IET Image Processing
40. CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images
    Subrato Bharati, Prajoy Podder, Md. Rubaiyat Hossain Mondal, V. B. Surya Prasath · 2021 · International Journal of Hybrid Intelligent Systems
41. A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
    Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar · 2024 · BMC Medical Imaging
42. Deep learning and its role in COVID-19 medical imaging
    Sudhen B. Desai, Anuj Pareek, Matthew P. Lungren · 2020 · Intelligence-Based Medicine
43. Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis
    Xiaofei Wang, Lai Wei Jiang, Liu Li, Mai Xu, Xin Deng, Lisong Dai, Xiangyang Xu, Tianyi Li, Yichen Guo, Zulin Wang et al. · 2021 · IEEE Transactions on Medical Imaging
44. Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification
    Matej Gazda, Ján Plavka, Jakub Gazda, Peter Drotár · 2021 · IEEE Access
45. Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
    Navchetan Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, Phaneendra Kumar Yalavarthy · 2021 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
46. Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
    Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Maria Valero, Fangyu Li, Mohammed Aledhari, Quan Z. Sheng · 2021 · Journal of Biomedical Informatics
47. FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images
    Tarun Agrawal, Prakash Choudhary · 2021 · Evolving Systems
48. A Comprehensive Survey of COVID-19 Detection Using Medical Images
    Faisal Muhammad Shah, Sajib Kumar Saha Joy, Farzad Ahmed, Tonmoy Hossain, Mayeesha Humaira, Amit Saha Ami, Shimul Paul, Md Abidur Rahman Khan Jim, Sifat Ahmed · 2021 · SN Computer Science
49. Uncertainty-aware convolutional neural network for COVID-19 X-ray images classification
    Mahesh Gour, Sweta Jain · 2021 · Computers in Biology and Medicine
50. AI-based radiodiagnosis using chest X-rays: A review
    Yasmeena Akhter, Richa Singh, Mayank Vatsa A · 2023 · Frontiers in Big Data
51. A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques
    Djaafar Zouache, Adel Got, Deemah Alarabiat, Laith Abualigah, El‐Ghazali Talbi · 2023 · Multimedia Tools and Applications
52. ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
    Mehdi Yousefzadeh, Parsa Esfahanian, M. Sadegh Movahed, Saeid Gorgin, Dara Rahmati, Arda Kiani, Seyed Alireza Nadji, Sara Haseli, M. Hoseinyazdi, Jafar Roshandel et al. · 2021 · PLoS ONE
53. Deep learning based detection of COVID-19 from chest X-ray images
    Sarra Guefrechi, Marwa Ben Jabra, Adel Ammar, Anis Koubâa, Habib Hamam · 2021 · Multimedia Tools and Applications
54. Design of deep ensemble classifier with fuzzy decision method for biomedical image classification
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55. Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
    Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, Md. Robiul Islam, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski · 2023 · Expert Systems with Applications
56. ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19
    Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana · 2021 · PeerJ Computer Science
57. COVID-19 Detection in Chest X-ray Images Using a New Channel Boosted CNN
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58. Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset
    Muhammad Umair, Muhammad Shahbaz Khan, Fawad Ahmed, Fatmah Abdulrahman Baothman, Fehaid Alqahtani, Muhammad Alian, Jawad Elsayed Ahmad · 2021 · Sensors
59. A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
    Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, Nora Mahmoud El-Rashidy, Muhammad Sohail Khan · 2023 · Diagnostics
60. Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
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61. Analyzing Malaria Disease Using Effective Deep Learning Approach
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62. Diagnosis of COVID-19 from X-rays Using Combined CNN-RNN Architecture with Transfer Learning
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63. DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network
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64. COVID-19 Control by Computer Vision Approaches: A Survey
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65. Recent advances of Transformers in medical image analysis: A comprehensive review
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66. Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions
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67. COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review
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68. Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation
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69. A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
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70. Uncertainty-driven ensembles of multi-scale deep architectures for image classification
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73. A Transfer Learning-Based Approach with Deep CNN for COVID-19- and Pneumonia-Affected Chest X-ray Image Classification
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76. Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
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77. Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images
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79. Deep Ensemble Model for Classification of Novel Coronavirus in Chest X‐Ray Images
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80. An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
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82. A deep learning-based framework for detecting COVID-19 patients using chest X-rays
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83. COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods
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84. Revealing hidden patterns in deep neural network feature space continuum via manifold learning
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85. Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis
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86. A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions
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87. Federated Contrastive Learning for Decentralized Unlabeled Medical Images
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88. Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
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89. Deep learning-based approach for detecting COVID-19 in chest X-rays
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90. MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
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91. Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network
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93. Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
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94. Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review
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95. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
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96. CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images
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99. Choquet Integral and Coalition Game-Based Ensemble of Deep Learning Models for COVID-19 Screening From Chest X-Ray Images
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100. A Systematic Collection of Medical Image Datasets for Deep Learning
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