An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Authors
Keywords
-
Journal
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-11-01
DOI
10.1007/s11831-023-10006-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images
- (2023) Pushpendra Singh Sisodia et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures
- (2023) Yahia Said et al. Diagnostics
- A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
- (2023) Ashish Kumar et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases
- (2023) Krishna Modi et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Genetic Disorders Using Various Gene Disorders
- (2023) Neelam Chaplot et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
- (2023) Priya Bhardwaj et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms
- (2023) Philippe A. Grenier et al. Diagnostics
- Application of Medical Image Detection Technology Based on Deep Learning in Pneumoconiosis Diagnosis
- (2023) Shengguang Peng Data Intelligence
- Lung cancer diagnosis using deep attention based multiple instance learning and radiomics
- (2022) Junhua Chen et al. MEDICAL PHYSICS
- Artificial Intelligence Techniques for Predictive Modeling of Vector-Borne Diseases and its Pathogens: A Systematic Review
- (2022) Inderpreet Kaur et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
- (2022) Chandra Mani Sharma et al. Journal of Healthcare Engineering
- Automated detection of pulmonary embolism from CT-angiograms using deep learning
- (2022) Heidi Huhtanen et al. BMC MEDICAL IMAGING
- A two step workflow for pulmonary embolism detection using deep learning and feature extraction
- (2022) G. Olescki et al. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization
- Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review
- (2022) Yogesh Kumar et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
- (2022) Apeksha Koul et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs
- (2022) Wenjian Sun et al. IEEE Journal of Biomedical and Health Informatics
- Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
- (2022) Linh T. Duong et al. APPLIED SOFT COMPUTING
- A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges
- (2022) Sukhpreet Kaur et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- A deep learning-based model for screening and staging pneumoconiosis
- (2021) Liuzhuo Zhang et al. Scientific Reports
- Using artificial intelligence techniques for COVID-19 genome analysis
- (2021) M. Saqib Nawaz et al. APPLIED INTELLIGENCE
- Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
- (2021) Dina M. Ibrahim et al. COMPUTERS IN BIOLOGY AND MEDICINE
- End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19: A Theoretical Framework
- (2021) Abdelkader Nasreddine Belkacem et al. Frontiers in Medicine
- Balanced Convolutional Neural Networks for Pneumoconiosis Detection
- (2021) Chaofan Hao et al. International Journal of Environmental Research and Public Health
- Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT
- (2021) Jooae Choe et al. RADIOLOGY
- Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
- (2021) Fan Yang et al. BMC MEDICAL IMAGING
- COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
- (2020) Mesut Toğaçar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
- (2020) Aayush Jaiswal et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs
- (2020) Liton Devnath et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Google’s lung cancer AI: a promising tool that needs further validation
- (2019) Colin Jacobs et al. Nature Reviews Clinical Oncology
- The impact of cold on the respiratory tract and its consequences to respiratory health
- (2018) Maria D’Amato et al. Clinical and Translational Allergy
- A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism
- (2018) Mojtaba Masoudi et al. Scientific Data
- Multi-path convolutional neural network for lung cancer detection
- (2018) Worku Jifara Sori et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- High-Resolution CT of Interstitial Lung Disease: A Continuous Evolution
- (2014) David Hansell et al. SEMINARS IN RESPIRATORY AND CRITICAL CARE MEDICINE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More