A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images
Authors
Keywords
-
Journal
IEEE-ACM Transactions on Computational Biology and Bioinformatics
Volume 20, Issue 4, Pages 2506-2517
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-11-04
DOI
10.1109/tcbb.2022.3216661
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
- (2021) Tawsifur Rahman et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
- (2021) Qiangguo Jin et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
- (2021) Ali Narin et al. PATTERN ANALYSIS AND APPLICATIONS
- Enhancement of Ship Type Classification from a Combination of CNN and KNN
- (2021) Ho-Kun Jeon et al. Electronics
- An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools
- (2021) Ivano Lauriola et al. NEUROCOMPUTING
- Ophthalmic Disease Detection via Deep Learning With a Novel Mixture Loss Function
- (2021) Xiong Luo et al. IEEE Journal of Biomedical and Health Informatics
- The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local–Global Net
- (2021) Honghao Gao et al. IEEE Transactions on Computational Social Systems
- SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation
- (2021) Jieli Zhou et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Multikernel Correntropy for Robust Learning
- (2021) Badong Chen et al. IEEE Transactions on Cybernetics
- A Familial Cluster of Infection Associated With the 2019 Novel Coronavirus Indicating Possible Person-to-Person Transmission During the Incubation Period
- (2020) Ping Yu et al. JOURNAL OF INFECTIOUS DISEASES
- Patients with RT-PCR Confirmed COVID-19 and Normal Chest CT
- (2020) Wenjie Yang et al. RADIOLOGY
- Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing
- (2020) Xingzhi Xie et al. RADIOLOGY
- Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
- (2020) Yicheng Fang et al. RADIOLOGY
- Deep Transfer Learning Based Classification Model for COVID-19 Disease
- (2020) Y. Pathak et al. IRBM
- Computer‐aided diagnosis in the era of deep learning
- (2020) Heang‐Ping Chan et al. MEDICAL PHYSICS
- Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
- (2020) Harrison X. Bai et al. RADIOLOGY
- Transfer Learning with Dynamic Distribution Adaptation
- (2020) Jindong Wang et al. ACM Transactions on Intelligent Systems and Technology
- Preliminary CT findings of coronavirus disease 2019 (COVID-19)
- (2020) Ning Cui et al. CLINICAL IMAGING
- Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
- (2020) Shervin Minaee et al. MEDICAL IMAGE ANALYSIS
- Robust Maximum Mixture Correntropy Criterion-Based Semi-Supervised ELM With Variable Center
- (2020) Jie Yang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine
- (2020) Muhammad Attique Khan et al. COMPUTERS & ELECTRICAL ENGINEERING
- Lightweight deep learning models for detecting COVID-19 from chest X-ray images
- (2020) Stefanos Karakanis et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Short-term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy
- (2018) Xiong Luo et al. IEEE Transactions on Industrial Informatics
- A hybrid deep learning CNN–ELM for age and gender classification
- (2018) Mingxing Duan et al. NEUROCOMPUTING
- Transferable Representation Learning with Deep Adaptation Networks
- (2018) Mingsheng Long et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Focal loss for dense object detection
- (2018) Tsung-Yi Lin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A novel hybrid CNN–SVM classifier for recognizing handwritten digits
- (2011) Xiao-Xiao Niu et al. PATTERN RECOGNITION
- Maximum Correntropy Criterion for Robust Face Recognition
- (2010) Ran He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Correntropy as a novel measure for nonlinearity tests
- (2008) Aysegul Gunduz et al. SIGNAL PROCESSING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now