Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
Fuente:
arXiv
Saved in:
| Main Authors: | Galán-Cuenca, Alejandro, Gallego, Antonio Javier, Saval-Calvo, Marcelo, Pertusa, Antonio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
by: Pramana, A. A. G. Yogi, et al.
Published: (2024)
by: Pramana, A. A. G. Yogi, et al.
Published: (2024)
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
by: Lei, Yiming, et al.
Published: (2025)
by: Lei, Yiming, et al.
Published: (2025)
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020)
by: Ahishali, Mete, et al.
Published: (2020)
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
by: Roy, Santanu, et al.
Published: (2025)
by: Roy, Santanu, et al.
Published: (2025)
Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
by: Sulake, Nikhileswara Rao
Published: (2026)
by: Sulake, Nikhileswara Rao
Published: (2026)
Clinically-aligned Multi-modal Chest X-ray Classification
by: Sloan, Phillip, et al.
Published: (2025)
by: Sloan, Phillip, et al.
Published: (2025)
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
by: Lara, Luis, et al.
Published: (2025)
by: Lara, Luis, et al.
Published: (2025)
I$^2$VC: A Unified Framework for Intra- & Inter-frame Video Compression
by: Liu, Meiqin, et al.
Published: (2024)
by: Liu, Meiqin, et al.
Published: (2024)
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
by: Hazlett, Alanna, et al.
Published: (2025)
by: Hazlett, Alanna, et al.
Published: (2025)
AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
by: Khater, Omar Hesham, et al.
Published: (2024)
by: Khater, Omar Hesham, et al.
Published: (2024)
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
by: Crespi, Leonardo, et al.
Published: (2021)
by: Crespi, Leonardo, et al.
Published: (2021)
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
by: Dey, Utsho Kumar
Published: (2026)
by: Dey, Utsho Kumar
Published: (2026)
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
by: Verma, Ashish, et al.
Published: (2025)
by: Verma, Ashish, et al.
Published: (2025)
Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
by: Gabriel, Roy M., et al.
Published: (2025)
by: Gabriel, Roy M., et al.
Published: (2025)
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
by: Degerli, Aysen, et al.
Published: (2020)
by: Degerli, Aysen, et al.
Published: (2020)
MOZART: Ensembling Approach for COVID-19 Detection using Chest X-Ray Imagery
by: Shabo, Mohammed, et al.
Published: (2024)
by: Shabo, Mohammed, et al.
Published: (2024)
SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
by: Abolade, Ilerioluwakiiye, et al.
Published: (2025)
by: Abolade, Ilerioluwakiiye, et al.
Published: (2025)
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
by: Nasiri, Hamid, et al.
Published: (2022)
by: Nasiri, Hamid, et al.
Published: (2022)
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)
by: Prakash, Eva, et al.
Published: (2024)
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)
by: Ifty, Tanzina Taher, et al.
Published: (2024)
General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Structured Data from Chest Radiology Reports
by: Dhanaliwala, Ali H., et al.
Published: (2023)
by: Dhanaliwala, Ali H., et al.
Published: (2023)
From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification
by: Kulkarni, Pranav, et al.
Published: (2023)
by: Kulkarni, Pranav, et al.
Published: (2023)
Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)
by: Choi, Hyeonjin, et al.
Published: (2025)
Adaptive Online Learning of Separable Path Graph Transforms for Intra-prediction
by: Lu, Wen-Yang, et al.
Published: (2024)
by: Lu, Wen-Yang, et al.
Published: (2024)
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
by: Huang, Lili, et al.
Published: (2024)
by: Huang, Lili, et al.
Published: (2024)
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
by: Capellán-Martín, Daniel, et al.
Published: (2024)
by: Capellán-Martín, Daniel, et al.
Published: (2024)
A Disease Labeler for Chinese Chest X-Ray Report Generation
by: Wang, Mengwei, et al.
Published: (2024)
by: Wang, Mengwei, et al.
Published: (2024)
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
by: Chatterjee, Soumick, et al.
Published: (2020)
by: Chatterjee, Soumick, et al.
Published: (2020)
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
by: Fahad, Nafiz, et al.
Published: (2024)
by: Fahad, Nafiz, et al.
Published: (2024)
Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)
by: Ge, Rongjun, et al.
Published: (2026)
Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
by: Agarwal, Lakshita, et al.
Published: (2025)
by: Agarwal, Lakshita, et al.
Published: (2025)
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images
by: Chen, Zhanghao, et al.
Published: (2023)
by: Chen, Zhanghao, et al.
Published: (2023)
Multi-pathology Chest X-ray Classification with Rejection Mechanisms
by: Aperstein, Yehudit, et al.
Published: (2025)
by: Aperstein, Yehudit, et al.
Published: (2025)
General and Domain-Specific Zero-shot Detection of Generated Images via Conditional Likelihood
by: Betser, Roy, et al.
Published: (2025)
by: Betser, Roy, et al.
Published: (2025)
Few-shot Personalized Saliency Prediction Based on Interpersonal Gaze Patterns
by: Moroto, Yuya, et al.
Published: (2023)
by: Moroto, Yuya, et al.
Published: (2023)
A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
by: Nilay, Aadit, et al.
Published: (2026)
by: Nilay, Aadit, et al.
Published: (2026)
CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays
by: Singh, Sonit
Published: (2024)
by: Singh, Sonit
Published: (2024)
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
by: Arizmendi, Carlos, et al.
Published: (2025)
by: Arizmendi, Carlos, et al.
Published: (2025)
Similar Items
-
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
by: S, Sree Rama Vamsidhar, et al.
Published: (2024) -
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
by: Pramana, A. A. G. Yogi, et al.
Published: (2024) -
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
by: Lei, Yiming, et al.
Published: (2025) -
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020) -
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
by: Roy, Santanu, et al.
Published: (2025)