Lung Disease Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (24 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  5 May 2017 26 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.
• CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
  21 Jan 2019 12 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  On a validation set of 200 chest radiographic studies which were manually annotated by 3 board-certified radiologists, we find that different uncertainty approaches are useful for different pathologies.
• Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
  23 Nov 2017 2 repositories listed
  Chest X-ray is one of the most accessible medical imaging technique for diagnosis of multiple diseases.
• ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds
  22 Aug 2024 1 repository listed
  ILD encompasses over 200 chronic respiratory diseases that gradually damage the lung tissues and make it difficult to acquire adequate oxygen in the lungs.
• CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
  9 Aug 2024 1 repository listed
  Due to domain shift, deep learning image classifiers perform poorly when applied to a domain different from the training one.
• AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
  1 Aug 2023 1 repository listed
  The AsthmaSCELNet consists of two stages: embedding learning using a lightweight embedding extraction backbone module that extracts compact embedding from the melspectrogram, and classification by the learnt embeddings…
• AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification
  10 Jul 2023 1 repository listed
  Asthma is one of the most severe chronic respiratory diseases which can be diagnosed using several modalities, such as lung function test or spirometric measures, peak flow meter-based measures, sputum eosinophils,…
• RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds
  6 Jul 2023 1 repository listed
  The main aim of this article is to propose a novel lightweight inception network to classify a wide spectrum of respiratory diseases using lung sound signals.
• Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
  3 Mar 2023 1 repository listed
  Conclusion: ViTs performed similarly to CNNs in CXR classification, and their attention-based saliency maps were more useful to radiologists and outperformed GradCAM.
• Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation
  10 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Masked Autoencoder (MAE) has recently been shown to be effective in pre-training Vision Transformers (ViT) for natural image analysis.
• Respiratory diseases recognition through respiratory sound with the help of deep neural network
  30 Apr 2020 1 repository listed
  Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep…

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.