| Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain | Dec 18, 2018 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification | Nov 13, 2023 | Deep LearningMulti-Label Classification | CodeCode Available | 0 | 5 |
| Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays | Feb 27, 2023 | Domain AdaptationDomain Generalization | CodeCode Available | 0 | 5 |
| Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images | Mar 1, 2025 | Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION | CodeCode Available | 0 | 5 |
| Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization | Aug 17, 2018 | General Classificationimage-classification | —Unverified | 0 | 0 |
| Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | Jun 30, 2022 | Federated LearningObject Recognition | —Unverified | 0 | 0 |
| Multi-label Thoracic Disease Image Classification with Cross-Attention Networks | Jul 21, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Optimizing CNN Architectures for Advanced Thoracic Disease Classification | Feb 15, 2025 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study | Apr 21, 2021 | ClassificationDecision Making | —Unverified | 0 | 0 |
| SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images | Oct 30, 2018 | General ClassificationThoracic Disease Classification | —Unverified | 0 | 0 |
