mlsanityData to 7 Oct 2026

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images

arXiv 2202.10185 ↗First posted 21 Feb 2022eess.IV cs.CV cs.LGcited by 47

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Abstract (arXiv)

Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets bearing the risk of overfitting. Additionally, previous studies have revealed the fact that deep networks are not reliable for classification since their decisions may originate from irrelevant areas on the CXRs. Therefore, in this study, we propose Operational Segmentation Network (OSegNet) that performs detection by segmenting COVID-19 pneumonia for a reliable diagnosis. To address the data scarcity encountered in training and especially in evaluation, this study extends the largest COVID-19 CXR dataset: QaTa-COV19 with 121,378 CXRs including 9258 COVID-19 samples with their corresponding ground-truth segmentation masks that are publicly shared with the research community. Consequently, OSegNet has achieved a detection performance with the highest accuracy of 99.65% among the state-of-the-art deep models with 98.09% precision.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Builds on 21 of its 29 references that are in the map. First posted on arXiv 21 Feb 2022.

Builds on

21 of 29 references.

References · 21

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  2. 2016Densely Connected Convolutional Networkscited by 6,691
  3. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  4. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,518
  5. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 969
  6. 2017Deep Layer Aggregationcited by 436
  7. 2020COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Imagescited by 264
  8. 2020Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networkscited by 92
  9. 2020Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networkscited by 86
  10. 2020BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientscited by 81
  11. 2021COVID-19 Infection Localization and Severity Grading from Chest X-ray Imagescited by 46
  12. 2020Self-Organized Operational Neural Networks with Generative Neuronscited by 38
9 more
  1. 2020Self-Organized Operational Neural Networks for Severe Image Restoration Problemscited by 28
  2. 2020COVID-19 Infection Map Generation and Detection from Chest X-Ray Imagescited by 28
  3. 2021Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNscited by 12
  4. 2020PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Imagescited by 8
  5. 2020COVID-19 Classification of X-ray Images Using Deep Neural Networkscited by 8
  6. 2021Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compressioncited by 8
  7. 2020Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Imagescited by 7
  8. 2021Reliable COVID-19 Detection Using Chest X-ray Imagescited by 5
  9. 2021Self-Organized Residual Blocks for Image Super-Resolutioncited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 4; 2024: 8; 2025: 14; 2026: 19.

47 papers.

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  1. 2022LViT: Language meets Vision Transformer in Medical Image Segmentationcited by 110
  2. 2023Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learningcited by 34
  3. 2023Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray imagescited by 33
  4. 2024Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentationcited by 27
  5. 2024Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Modelscited by 13
  6. 2024SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidancecited by 11
  7. 2025MedSG-Bench: A Benchmark for Medical Image Sequences Groundingcited by 8
  8. 2024Curriculum Prompting Foundation Models for Medical Image Segmentationcited by 6
  9. 2024Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignmentscited by 6
  10. 2025Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximationcited by 6
  11. 2025Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Datasetcited by 5
  12. 2025TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Explorationcited by 4
35 more
  1. 2025Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentationcited by 4
  2. 2023Multiscale Progressive Text Prompt Network for Medical Image Segmentationcited by 3
  3. 2025Federated Client-tailored Adapter for Medical Image Segmentationcited by 3
  4. 2026Uncertainty-Aware Vision-Language Segmentation for Medical Imagingcited by 3
  5. 2026MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentationcited by 3
  6. 2022R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classificationcited by 2
  7. 2024Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentationcited by 2
  8. 2023Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentationcited by 1
  9. 2024Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imagingcited by 1
  10. 2025Text-guided multi-stage cross-perception network for medical image segmentationcited by 1
  11. 2025LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentationcited by 1
  12. 2025A Text-Image Fusion Method with Data Augmentation Capabilities for Referring Medical Image Segmentationcited by 1
  13. 2026Localization-Infused Vision-Language Semantic Fusion for Text-Guided Medical Image Segmentationcited by 1
  14. 2026Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentationcited by 1
  15. 2024AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentationcited by 0
  16. 2025Quickly Tuning Foundation Models for Image Segmentationcited by 0
  17. 2025Medical Referring Image Segmentation via Next-Token Mask Predictioncited by 0
  18. 2025A Fast and Efficient Modern BERT based Text-Conditioned Diffusion Model for Medical Image Segmentationcited by 0
  19. 2025InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-trainingcited by 0
  20. 2025TGC-Net: A Structure-Aware and Semantically-Aligned Framework for Text-Guided Medical Image Segmentationcited by 0
  21. 2026BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentationcited by 0
  22. 2026AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentationcited by 0
  23. 2026SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentationcited by 0
  24. 2026Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignmentcited by 0
  25. 2026PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencodercited by 0
  26. 2026MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Modelscited by 0
  27. 2026Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentationcited by 0
  28. 2026C^2GR: Coupled Comprehensive Generative Replay for a Continually Learnable Universal Segmentation Modelcited by 0
  29. 2026Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentationcited by 0
  30. 2026APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigmscited by 0
  31. 2026Decoupling Language Guidance from Backbones for Text-Guided Medical Segmentationcited by 0
  32. 2026DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentationcited by 0
  33. 2026CoMLP: Cooperatively-Gated MLPs for Fine-Grained Cross-Modal Information Fusion in Medical Image Segmentationcited by 0
  34. 2026CGSM: Concept-Guided Segmentation Model for Precise Pulmonary Lesion Delineationcited by 0
  35. 2026Multimodal Routing and Region Refinement for Language-Guided Medical Image Segmentationcited by 0